WildFireVQA: A Large-Scale Radiometric Thermal VQA Benchmark for Aerial Wildfire Monitoring
Paper • 2604.20190 • Published
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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type struct<xyxy: list<item: double>, conf: double, label: string> to null
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1852, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
_c(array.field(name) if name in array_fields else null_array, subfeature)
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2109, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2143, in cast_array_to_feature
return array_cast(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2007, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type struct<xyxy: list<item: double>, conf: double, label: string> to null
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1348, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 890, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 951, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
prompt_template string | pd7_gt null | ds3_gt null | ds1_gt null | image_id string | rgb_path string | thermal_path string | temp_summary dict | category string | question_id string | question string | options list | answer string | applicability_score float64 | hotspot_gt dict | pd8_gt null | cl1_gt null | ds7_gt null | ds8_gt null | ld1_gt null | cmr4_gt null | altitude_gt null |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
You are an expert wildfire visual question answering model.
You are given:
- one RGB aerial image
- one Thermal image rendered using an inferno colormap of radiometric TIFF
- a temperature summary describing the radiometric TIFF
You must infer relative and approximate absolute temperatures by:
- Using the provided m... | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Presence and Detection | PD1 | Are active thermal hotspots detected? | [
"Yes",
"No"
] | No | 1 | {
"method": "radiometric_tiff_threshold_cc",
"tiff_path": "/home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/Celsius TIFF/00001.TIFF",
"threshold_c": 200,
"dfov_deg_used": 61,
"agl_m": 84.887,
"image_shape_hw": [
512,
640
],
"gsd_m_per_px": 0.156257076,
... | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Presence and Detection | PD2 | Is smoke visible? | [
"Yes",
"No"
] | Yes | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Presence and Detection | PD3 | Are visible flames present? | [
"Yes",
"No"
] | No | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Presence and Detection | PD4 | Are any buildings or residential structures visible? | [
"Yes",
"No"
] | No | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Presence and Detection | PD5 | Are natural fuel breaks like rock outcroppings or sparse vegetation visible? | [
"Yes",
"No"
] | No | 0.9 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Presence and Detection | PD6 | Are there standing dead trees that could contribute to high-intensity burning? | [
"Yes",
"No"
] | No | 0.7 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Presence and Detection | PD7 | Are there isolated heat sources far from the main fire perimeter? | [
"Yes",
"No",
"No fire"
] | No Fire | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Presence and Detection | PD8 | How many emergency vehicles are visible in the scene? | [
"0",
"1-2",
"3-4",
">4"
] | 0 | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Classification | CL1 | What is the dominant fire behavior observed in the scene? | [
"Active fire",
"Smoldering",
"Extinguished",
"No fire"
] | Active fire | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Classification | CL2 | What is the dominant vegetation type in the scene? | [
"Coniferous forest",
"Deciduous forest",
"Grassland",
"Shrubland"
] | Deciduous forest | 0.9 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Classification | CL3 | Which moisture level best describes the live vegetation? | [
"Lush/Green",
"Transitioning",
"Dry/Cured"
] | Dry/Cured | 0.9 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Classification | CL4 | What is the density of the forest canopy? | [
"Dense/Closed",
"Moderate",
"Sparse/Open",
"No forest visible"
] | Sparse/Open | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Classification | CL5 | What is the primary fuel type on the ground by overall coverage? | [
"Grass",
"Forest litter",
"Shrubs",
"Mixed (no dominant type)"
] | Forest litter | 0.9 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Classification | CL6 | How accessible is the active fire area via roads or trails? | [
"Clear access",
"Partially obstructed access",
"No clear access",
"No active fire"
] | Clear access | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Distribution and Segmentation | DS1 | What is the spatial distribution of the active hotspots? | [
"Scattered",
"Concentrated",
"Linear",
"No active hotspots"
] | No active hotspots | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Distribution and Segmentation | DS2 | How continuous is the fuel bed in the fire's potential path? | [
"Continuous",
"Patchy",
"Discontinuous"
] | Continuous | 0.9 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Distribution and Segmentation | DS3 | How consistent is the intensity of the active thermal hotspots in the scene? | [
"Similar intensity across hotspots",
"Clearly different intensity levels",
"No active hotspots"
] | No active hotspots | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Distribution and Segmentation | DS4 | What proportion of visible vegetation is affected by fire, either actively burning or already burned? | [
"1-25%",
"25-50%",
">50%",
"None"
] | 1-25% | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Distribution and Segmentation | DS5 | Approximately what proportion of the image is covered by above-ground vegetation such as shrubs and trees? | [
"1-25%",
"25-50%",
"50-75%",
"75-100%",
"None"
] | 25-50% | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Distribution and Segmentation | DS6 | What percentage of the RGB image is obstructed by smoke? | [
"1-25%",
"25-50%",
"50-75%",
"75-100%",
"No smoke"
] | 1-25% | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Distribution and Segmentation | DS7 | What percentage of the full scene exceeds 400 degrees Celsius? | [
"<2%",
"2-4%",
"4-6%",
">6%",
"None"
] | None | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Distribution and Segmentation | DS8 | What percentage of the full scene exceeds 200 degrees Celsius? | [
"<5%",
"5-10%",
"10-15%",
">15%",
"None"
] | <5% | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Localization and Direction | LD1 | Where is the most intense hotspot located within the frame? | [
"Top-left",
"Top-right",
"Bottom-left",
"Bottom-right",
"Center",
"No hotspots"
] | Top-right | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Localization and Direction | LD2 | Where is the densest vegetation located? | [
"Top-left",
"Top-right",
"Bottom-left",
"Bottom-right",
"Center",
"Uniformly distributed",
"No vegetation visible"
] | Uniformly distributed | 0.9 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Localization and Direction | LD3 | From which region of the image does the largest smoke plume originate? | [
"Top-left",
"Top-right",
"Bottom-left",
"Bottom-right",
"Center",
"Spread equally",
"No smoke visible"
] | Top-right | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Localization and Direction | LD4 | What is the primary location of the man-made structures located in the frame, if any are visible? | [
"Top-left",
"Top-right",
"Bottom-left",
"Bottom-right",
"Center",
"No structures visible"
] | No structures visible | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Cross-Modal Reasoning | CMR1 | What is the level of tree canopy obstruction of the fire's base? | [
"Fully obstructed",
"Partially obstructed",
"Not obstructed",
"No fire"
] | Not obstructed | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Cross-Modal Reasoning | CMR2 | What is the primary limitation to observing the active burn area in this scene? | [
"Smoke obstruction",
"Canopy obstruction",
"Viewpoint",
"No major limitations",
"No active fire"
] | No major limitations | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Cross-Modal Reasoning | CMR3 | What is the level of smoke obstruction of the fire's base? | [
"Fully obstructed",
"Partially obstructed",
"Not obstructed",
"No fire"
] | Fully obstructed | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Cross-Modal Reasoning | CMR4 | What is the temperature of the hottest part of the fire in this scene in degrees Celsius? | [
"100-200",
"200-300",
"300-400",
"400-500",
">500",
"No fire detected"
] | 300-400 | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Flight Planning | FP1 | What is the camera's viewing angle? | [
"Nadir (top-down)",
"Oblique (angled)"
] | Nadir (top-down) | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Flight Planning | FP2 | What is the estimated flight altitude category? | [
"0-50 m",
"50-100 m",
"100-150 m",
">150 m"
] | 50-100 m | 0.6 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Flight Planning | FP3 | What is the current level of safety risk of the UAV's position near flames or smoke? | [
"High risk",
"Medium risk",
"Low risk",
"No fire"
] | Low risk | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00001 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00001.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00001.JPG | {
"min": 3.714,
"max": 365.622,
"mean": 14.158,
"std": 5.577,
"top3_mean": 27.233,
"pct_over_200": 0.015,
"pct_over_400": 0
} | Flight Planning | FP4 | At the UAV's current flight altitude, which scene feature is the biggest risk to safe or consistent UAV movement over this area? | [
"Rugged or steep terrain",
"Uneven forest",
"Smoke columns",
"No clear obstacles"
] | No clear obstacles | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Presence and Detection | PD1 | Are active thermal hotspots detected? | [
"Yes",
"No"
] | Yes | 1 | {
"method": "radiometric_tiff_threshold_cc",
"tiff_path": "/home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/Celsius TIFF/00002.TIFF",
"threshold_c": 200,
"dfov_deg_used": 61,
"agl_m": 93.704,
"image_shape_hw": [
512,
640
],
"gsd_m_per_px": 0.1724871069,... | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Presence and Detection | PD2 | Is smoke visible? | [
"Yes",
"No"
] | Yes | 0.9 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Presence and Detection | PD3 | Are visible flames present? | [
"Yes",
"No"
] | No | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Presence and Detection | PD4 | Are any buildings or residential structures visible? | [
"Yes",
"No"
] | No | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Presence and Detection | PD5 | Are natural fuel breaks like rock outcroppings or sparse vegetation visible? | [
"Yes",
"No"
] | Yes | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Presence and Detection | PD6 | Are there standing dead trees that could contribute to high-intensity burning? | [
"Yes",
"No"
] | Yes | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Presence and Detection | PD7 | Are there isolated heat sources far from the main fire perimeter? | [
"Yes",
"No",
"No fire"
] | No | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Presence and Detection | PD8 | How many emergency vehicles are visible in the scene? | [
"0",
"1-2",
"3-4",
">4"
] | 0 | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Classification | CL1 | What is the dominant fire behavior observed in the scene? | [
"Active fire",
"Smoldering",
"Extinguished",
"No fire"
] | Active fire | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Classification | CL2 | What is the dominant vegetation type in the scene? | [
"Coniferous forest",
"Deciduous forest",
"Grassland",
"Shrubland"
] | Deciduous forest | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Classification | CL3 | Which moisture level best describes the live vegetation? | [
"Lush/Green",
"Transitioning",
"Dry/Cured"
] | Transitioning | 0.8 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Classification | CL4 | What is the density of the forest canopy? | [
"Dense/Closed",
"Moderate",
"Sparse/Open",
"No forest visible"
] | Moderate | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Classification | CL5 | What is the primary fuel type on the ground by overall coverage? | [
"Grass",
"Forest litter",
"Shrubs",
"Mixed (no dominant type)"
] | Shrubs | 0.9 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Classification | CL6 | How accessible is the active fire area via roads or trails? | [
"Clear access",
"Partially obstructed access",
"No clear access",
"No active fire"
] | No clear access | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Distribution and Segmentation | DS1 | What is the spatial distribution of the active hotspots? | [
"Scattered",
"Concentrated",
"Linear",
"No active hotspots"
] | Concentrated | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Distribution and Segmentation | DS2 | How continuous is the fuel bed in the fire's potential path? | [
"Continuous",
"Patchy",
"Discontinuous"
] | Patchy | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Distribution and Segmentation | DS3 | How consistent is the intensity of the active thermal hotspots in the scene? | [
"Similar intensity across hotspots",
"Clearly different intensity levels",
"No active hotspots"
] | Similar intensity across hotspots | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Distribution and Segmentation | DS4 | What proportion of visible vegetation is affected by fire, either actively burning or already burned? | [
"1-25%",
"25-50%",
">50%",
"None"
] | 1-25% | 0.8 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Distribution and Segmentation | DS5 | Approximately what proportion of the image is covered by above-ground vegetation such as shrubs and trees? | [
"1-25%",
"25-50%",
"50-75%",
"75-100%",
"None"
] | 50-75% | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Distribution and Segmentation | DS6 | What percentage of the RGB image is obstructed by smoke? | [
"1-25%",
"25-50%",
"50-75%",
"75-100%",
"No smoke"
] | 1-25% | 0.9 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Distribution and Segmentation | DS7 | What percentage of the full scene exceeds 400 degrees Celsius? | [
"<2%",
"2-4%",
"4-6%",
">6%",
"None"
] | None | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Distribution and Segmentation | DS8 | What percentage of the full scene exceeds 200 degrees Celsius? | [
"<5%",
"5-10%",
"10-15%",
">15%",
"None"
] | <5% | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Localization and Direction | LD1 | Where is the most intense hotspot located within the frame? | [
"Top-left",
"Top-right",
"Bottom-left",
"Bottom-right",
"Center",
"No hotspots"
] | Center | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Localization and Direction | LD2 | Where is the densest vegetation located? | [
"Top-left",
"Top-right",
"Bottom-left",
"Bottom-right",
"Center",
"Uniformly distributed",
"No vegetation visible"
] | Uniformly distributed | 0.9 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Localization and Direction | LD3 | From which region of the image does the largest smoke plume originate? | [
"Top-left",
"Top-right",
"Bottom-left",
"Bottom-right",
"Center",
"Spread equally",
"No smoke visible"
] | Center | 0.7 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Localization and Direction | LD4 | What is the primary location of the man-made structures located in the frame, if any are visible? | [
"Top-left",
"Top-right",
"Bottom-left",
"Bottom-right",
"Center",
"No structures visible"
] | No structures visible | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Cross-Modal Reasoning | CMR1 | What is the level of tree canopy obstruction of the fire's base? | [
"Fully obstructed",
"Partially obstructed",
"Not obstructed",
"No fire"
] | Partially obstructed | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Cross-Modal Reasoning | CMR2 | What is the primary limitation to observing the active burn area in this scene? | [
"Smoke obstruction",
"Canopy obstruction",
"Viewpoint",
"No major limitations",
"No active fire"
] | Canopy obstruction | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Cross-Modal Reasoning | CMR3 | What is the level of smoke obstruction of the fire's base? | [
"Fully obstructed",
"Partially obstructed",
"Not obstructed",
"No fire"
] | Not obstructed | 0.8 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Cross-Modal Reasoning | CMR4 | What is the temperature of the hottest part of the fire in this scene in degrees Celsius? | [
"100-200",
"200-300",
"300-400",
"400-500",
">500",
"No fire detected"
] | 200-300 | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Flight Planning | FP1 | What is the camera's viewing angle? | [
"Nadir (top-down)",
"Oblique (angled)"
] | Nadir (top-down) | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Flight Planning | FP2 | What is the estimated flight altitude category? | [
"0-50 m",
"50-100 m",
"100-150 m",
">150 m"
] | 50-100 m | 0.6 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Flight Planning | FP3 | What is the current level of safety risk of the UAV's position near flames or smoke? | [
"High risk",
"Medium risk",
"Low risk",
"No fire"
] | Low risk | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00002 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00002.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00002.JPG | {
"min": -17.095,
"max": 205.72,
"mean": 22.019,
"std": 9.679,
"top3_mean": 54.059,
"pct_over_200": 0.048,
"pct_over_400": 0
} | Flight Planning | FP4 | At the UAV's current flight altitude, which scene feature is the biggest risk to safe or consistent UAV movement over this area? | [
"Rugged or steep terrain",
"Uneven forest",
"Smoke columns",
"No clear obstacles"
] | No clear obstacles | 0.8 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Presence and Detection | PD1 | Are active thermal hotspots detected? | [
"Yes",
"No"
] | No | 1 | {
"method": "radiometric_tiff_threshold_cc",
"tiff_path": "/home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/Celsius TIFF/00003.TIFF",
"threshold_c": 200,
"dfov_deg_used": 61,
"agl_m": 94.982,
"image_shape_hw": [
512,
640
],
"gsd_m_per_px": 0.1748396055,... | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Presence and Detection | PD2 | Is smoke visible? | [
"Yes",
"No"
] | No | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Presence and Detection | PD3 | Are visible flames present? | [
"Yes",
"No"
] | No | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Presence and Detection | PD4 | Are any buildings or residential structures visible? | [
"Yes",
"No"
] | No | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Presence and Detection | PD5 | Are natural fuel breaks like rock outcroppings or sparse vegetation visible? | [
"Yes",
"No"
] | No | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Presence and Detection | PD6 | Are there standing dead trees that could contribute to high-intensity burning? | [
"Yes",
"No"
] | Yes | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Presence and Detection | PD7 | Are there isolated heat sources far from the main fire perimeter? | [
"Yes",
"No",
"No fire"
] | No Fire | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Presence and Detection | PD8 | How many emergency vehicles are visible in the scene? | [
"0",
"1-2",
"3-4",
">4"
] | 0 | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Classification | CL1 | What is the dominant fire behavior observed in the scene? | [
"Active fire",
"Smoldering",
"Extinguished",
"No fire"
] | Active fire | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Classification | CL2 | What is the dominant vegetation type in the scene? | [
"Coniferous forest",
"Deciduous forest",
"Grassland",
"Shrubland"
] | Deciduous forest | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Classification | CL3 | Which moisture level best describes the live vegetation? | [
"Lush/Green",
"Transitioning",
"Dry/Cured"
] | Lush/Green | 0.8 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Classification | CL4 | What is the density of the forest canopy? | [
"Dense/Closed",
"Moderate",
"Sparse/Open",
"No forest visible"
] | Moderate | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Classification | CL5 | What is the primary fuel type on the ground by overall coverage? | [
"Grass",
"Forest litter",
"Shrubs",
"Mixed (no dominant type)"
] | Shrubs | 0.9 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Classification | CL6 | How accessible is the active fire area via roads or trails? | [
"Clear access",
"Partially obstructed access",
"No clear access",
"No active fire"
] | No clear access | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Distribution and Segmentation | DS1 | What is the spatial distribution of the active hotspots? | [
"Scattered",
"Concentrated",
"Linear",
"No active hotspots"
] | No active hotspots | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Distribution and Segmentation | DS2 | How continuous is the fuel bed in the fire's potential path? | [
"Continuous",
"Patchy",
"Discontinuous"
] | Continuous | 0.9 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Distribution and Segmentation | DS3 | How consistent is the intensity of the active thermal hotspots in the scene? | [
"Similar intensity across hotspots",
"Clearly different intensity levels",
"No active hotspots"
] | No active hotspots | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Distribution and Segmentation | DS4 | What proportion of visible vegetation is affected by fire, either actively burning or already burned? | [
"1-25%",
"25-50%",
">50%",
"None"
] | 1-25% | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Distribution and Segmentation | DS5 | Approximately what proportion of the image is covered by above-ground vegetation such as shrubs and trees? | [
"1-25%",
"25-50%",
"50-75%",
"75-100%",
"None"
] | 75-100% | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Distribution and Segmentation | DS6 | What percentage of the RGB image is obstructed by smoke? | [
"1-25%",
"25-50%",
"50-75%",
"75-100%",
"No smoke"
] | No smoke | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Distribution and Segmentation | DS7 | What percentage of the full scene exceeds 400 degrees Celsius? | [
"<2%",
"2-4%",
"4-6%",
">6%",
"None"
] | None | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Distribution and Segmentation | DS8 | What percentage of the full scene exceeds 200 degrees Celsius? | [
"<5%",
"5-10%",
"10-15%",
">15%",
"None"
] | <5% | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Localization and Direction | LD1 | Where is the most intense hotspot located within the frame? | [
"Top-left",
"Top-right",
"Bottom-left",
"Bottom-right",
"Center",
"No hotspots"
] | Top-left | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Localization and Direction | LD2 | Where is the densest vegetation located? | [
"Top-left",
"Top-right",
"Bottom-left",
"Bottom-right",
"Center",
"Uniformly distributed",
"No vegetation visible"
] | Uniformly distributed | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Localization and Direction | LD3 | From which region of the image does the largest smoke plume originate? | [
"Top-left",
"Top-right",
"Bottom-left",
"Bottom-right",
"Center",
"Spread equally",
"No smoke visible"
] | No smoke visible | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Localization and Direction | LD4 | What is the primary location of the man-made structures located in the frame, if any are visible? | [
"Top-left",
"Top-right",
"Bottom-left",
"Bottom-right",
"Center",
"No structures visible"
] | No structures visible | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Cross-Modal Reasoning | CMR1 | What is the level of tree canopy obstruction of the fire's base? | [
"Fully obstructed",
"Partially obstructed",
"Not obstructed",
"No fire"
] | Partially obstructed | 0.9 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Cross-Modal Reasoning | CMR2 | What is the primary limitation to observing the active burn area in this scene? | [
"Smoke obstruction",
"Canopy obstruction",
"Viewpoint",
"No major limitations",
"No active fire"
] | No major limitations | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Cross-Modal Reasoning | CMR3 | What is the level of smoke obstruction of the fire's base? | [
"Fully obstructed",
"Partially obstructed",
"Not obstructed",
"No fire"
] | Not obstructed | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Cross-Modal Reasoning | CMR4 | What is the temperature of the hottest part of the fire in this scene in degrees Celsius? | [
"100-200",
"200-300",
"300-400",
"400-500",
">500",
"No fire detected"
] | 200-300 | 1 | null | null | null | null | null | null | null | null |
null | null | null | null | 00003 | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/RGB/Corrected FOV/00003.JPG | /home/mhabibp/Downloads/flame3333/Flame 3 Computer Vision Sets/Shoetank/Images/Fire/Thermal/JPG/00003.JPG | {
"min": -22.789,
"max": 208.335,
"mean": 15.842,
"std": 4.962,
"top3_mean": 30.905,
"pct_over_200": 0.001,
"pct_over_400": 0
} | Flight Planning | FP1 | What is the camera's viewing angle? | [
"Nadir (top-down)",
"Oblique (angled)"
] | Nadir (top-down) | 1 | null | null | null | null | null | null | null | null |
End of preview.
WildFire VQA is an open-source visual question answering dataset for wildfire imagery and operational analysis. It is designed to support multimodal benchmarking on aerial wildfire scenes, including both RGB and thermal inputs where available. The release is intended for research on wildfire monitoring, scene understanding, and question answering over remote sensing imagery. Each example pairs an image sample with a question, multiple-choice answer options, and the ground-truth answer. Dataset releases:
- Kaggle: https://www.kaggle.com/datasets/caseypiere/wildfire-vqa
- Hugging Face: https://huggingface.co/datasets/mobiiin/WildFire_VQA
- Github: https://github.com/mobiiin/WildFire_VQA
Dataset Summary
- Task: multimodal visual question answering
- Domain: wildfire monitoring and aerial imagery analysis
- Modalities: RGB, thermal, or RGB + thermal depending on the sample
- License: CC-BY-4.0
- Expected update frequency: never
Data Fields
Common fields used by the evaluation pipeline:
question_id: unique identifier for the samplequestion: natural-language question about the imageoptions: list of answer choices for multiple-choice evaluationgt_answeroranswer: ground-truth answer label or textrgb_path: path to the RGB image when the sample includes RGB datathermal_path: path to the thermal image when the sample includes thermal datatemp_summary: optional temperature summary statistics such asmin,max,mean, andtop3_mean
Intended Use
This dataset is intended for benchmarking and research, not for operational wildfire decision-making without independent validation. It is suitable for evaluating multimodal VLMs, testing RGB and thermal fusion, and studying question answering over wildfire scenes.
Limitations
- Performance may vary across sensor types, view angles, weather conditions, and fire intensity.
- Some samples may only include one modality.
- The dataset should be evaluated carefully for class imbalance, annotation noise, and domain shift.
Citation
If you use this dataset, please cite the associated work:
@misc{habibpour2026wildfirevqalargescaleradiometricthermal,
title={WildFireVQA: A Large-Scale Radiometric Thermal VQA Benchmark for Aerial Wildfire Monitoring},
author={Mobin Habibpour and Niloufar Alipour Talemi and John Spodnik and Camren J. Khoury and Fatemeh Afghah},
year={2026},
eprint={2604.20190},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2604.20190},
}
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