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language:
- en
configs:
- config_name: MetaCLIP
  data_files:
  - split: test
    path:
    - gold_metaclip_merged_a_release_test.json
    - gold_metaclip_merged_b_release_test.json
    - gold_metaclip_merged_c_release_test.json
- config_name: SA-1B
  data_files:
  - split: test
    path:
    - gold_sa1b_merged_a_release_test.json
    - gold_sa1b_merged_b_release_test.json
    - gold_sa1b_merged_c_release_test.json
- config_name: Attributes
  data_files:
  - split: test
    path:
    - gold_attributes_merged_a_release_test.json
    - gold_attributes_merged_b_release_test.json
    - gold_attributes_merged_c_release_test.json
- config_name: Crowded
  data_files:
  - split: test
    path:
    - gold_crowded_merged_a_release_test.json
    - gold_crowded_merged_b_release_test.json
    - gold_crowded_merged_c_release_test.json
- config_name: Wiki-Common1K
  data_files:
  - split: test
    path:
    - gold_wiki_common_merged_a_release_test.json
    - gold_wiki_common_merged_b_release_test.json
    - gold_wiki_common_merged_c_release_test.json
- config_name: Wiki-Food&Drink
  data_files:
  - split: test
    path:
    - gold_fg_food_merged_a_release_test.json
    - gold_fg_food_merged_b_release_test.json
    - gold_fg_food_merged_c_release_test.json
- config_name: Wiki-Sports Equipment
  data_files:
  - split: test
    path:
    - gold_fg_sports_equipment_merged_a_release_test.json
    - gold_fg_sports_equipment_merged_b_release_test.json
    - gold_fg_sports_equipment_merged_c_release_test.json
---

# Dataset Card for SA-Co/Gold

SA-Co/Gold is a benchmark for promptable concept segmentation (PCS) in images. The benchmark contains images paired with text labels (also referred as Noun Phrases aka NPs), each annotated exhaustively with masks on all object instances that match the label. SA-Co/Gold comprises 7 subsets, each targeting a different annotation domain. For each subset, the annotations are multi-reviewed and agreed by 3 human annotators resulting in a high-quality benchmark. 

This dataset covers 2 image sources and 7 annotation domains. The image sources are: MetaCLIP and SA-1B. The annotation domains are: MetaCLIP captioner NPs, SA-1B captioner NPs, Attributes, Crowded Scenes, Wiki-Common1K, Wiki-Food/Drink, Wiki-Sports Equipment.

More details on the usage SA-Co/Gold dataset including visualization and evaluation can be found in the [SAM 3 GitHub](https://github.com/facebookresearch/sam3/blob/main/scripts/eval/gold/).

## Annotation Format

The annotation format is derived from [COCO format](https://cocodataset.org/#format-data). Notable data fields are:

- `images`: a `list` of `dict` features, contains a list of all image-NP pairs. Each entry is related to an image-NP pair and has the following items.
  - `id`: a `string` feature, unique identifier for the image-NP pair
  - `text_input`: a `string` feature, the noun phrase for the image-NP pair
  - `file_name`: a `string` feature, the relative image path in the corresponding data folder.

- `annotations`: a `list` of `dict` features, containing a list of all annotations including bounding box, segmentation mask, area etc.
  - `image_id`: a `string` feature, maps to the identifier for the image-np pair in images
  - `bbox`: a `list` of float features, containing bounding box in [x,y,w,h] format
  - `segmentation`: a dict feature, containing segmentation mask in RLE format

- `categories`: a `list` of `dict` features, containing a list of all categories. Here, we provide  the category key for compatibility with the COCO format, but in open-vocabulary detection we do not use it. Instead, the text prompt is stored directly in each image (text_input in images). Note that in our setting, a unique image (id in images) actually corresponds to an (image, text prompt) combination.


For `id` in images that have corresponding annotations (i.e. exist as `image_id` in `annotations`), we refer to them as a "positive" NP. And, for `id` in `images` that don't have any annotations (i.e. they do not exist as `image_id` in `annotations`), we refer to them as a "negative" NP.

A sample annotation from Wiki-Food/Drink domain looks as follows:

#### images

```
[
  {
    "id": 10000000,
    "file_name": "1/1001/metaclip_1_1001_c122868928880ae52b33fae1.jpeg",
    "text_input": "chili",
    "width": 600,
    "height": 600,
    "queried_category": "0",
    "is_instance_exhaustive": 1,
    "is_pixel_exhaustive": 1
  },
  {
    "id": 10000001,
    "file_name": "1/1001/metaclip_1_1001_c122868928880ae52b33fae1.jpeg",
    "text_input": "the fish ball",
    "width": 600,
    "height": 600,
    "queried_category": "2001",
    "is_instance_exhaustive": 1,
    "is_pixel_exhaustive": 1
  }
]
```

#### annotations

```
[
  {
    "id": 1,
    "image_id": 10000000,
    "source": "manual",
    "area": 0.002477777777777778,
    "bbox": [
      0.44333332777023315,
      0.0,
      0.10833333432674408,
      0.05833333358168602
    ],
    "segmentation": {
      "counts": "`kk42fb01O1O1O1O001O1O1O001O1O00001O1O001O001O0000000000O1001000O010O02O001N10001N0100000O10O1000O10O010O100O1O1O1O1O0000001O0O2O1N2N2Nobm4",
      "size": [
        600,
        600
      ]
    },
    "category_id": 1,
    "iscrowd": 0
  },
  {
    "id": 2,
    "image_id": 10000000,
    "source": "manual",
    "area": 0.001275,
    "bbox": [
      0.5116666555404663,
      0.5716666579246521,
      0.061666667461395264,
      0.036666665226221085
    ],
    "segmentation": {
      "counts": "aWd51db05M1O2N100O1O1O1O1O1O010O100O10O10O010O010O01O100O100O1O00100O1O100O1O2MZee4",
      "size": [
        600,
        600
      ]
    },
    "category_id": 1,
    "iscrowd": 0
  }
]
```

### Data Stats

Here are the stats for the 7 annotation domains. The # Image-NPs represent the total number of unique image-NP pairs including both “positive” and “negative” NPs. 


| Domain                   | Media        | # Image-NPs   | # Image-NP-Masks|
|--------------------------|--------------|---------------| ----------------|
| MetaCLIP captioner NPs   | MetaCLIP     | 33393         | 20144           |
| SA-1B captioner NPs      | SA-1B        | 13258         | 30306           |
| Attributes               | MetaCLIP     | 9245          | 3663            |
| Crowded Scenes           | MetaCLIP     | 20687         | 50417           |
| Wiki-Common1K            | MetaCLIP     | 65502         | 6448            |
| Wiki-Food&Drink          | MetaCLIP     | 13951         | 9825            |
| Wiki-Sports Equipment    | MetaCLIP     | 12166         | 5075            |