config.json

{
  "model_name": "SkySense",
  "model_type": "skysense",
  "architectures": [
    "SkySense"
  ],
  "framework": "PyTorch",
  "domain": "earth-observation",
  "task": "remote-sensing-semantic-segmentation",
  "implementation": {
    "entry_point": "model/skysense.py",
    "scope": "compact multimodal spatial-temporal encoder with modality fusion and regional geo-context prototypes"
  },
  "architecture": {
    "family": "factorized multimodal spatial-temporal encoder with geo-context prototypes",
    "modalities": [
      "high-resolution RGB",
      "Sentinel-2",
      "Sentinel-1"
    ],
    "hr_shape": [
      1,
      3,
      224,
      224
    ],
    "sentinel_2_shape": [
      20,
      10,
      64,
      64
    ],
    "sentinel_1_shape": [
      10,
      2,
      64,
      64
    ],
    "embed_dim": 24,
    "hr_patch_size": 16,
    "sentinel_2_patch_size": 8,
    "sentinel_1_patch_size": 8,
    "temporal_depth": 1,
    "temporal_heads": 4,
    "num_regions": 16,
    "prototypes_per_region": 4,
    "num_classes": 6
  },
  "data": {
    "datasets": [
      "High-resolution RGB imagery",
      "Sentinel-1",
      "Sentinel-2"
    ],
    "protocol": "skysense_multires_multitemporal_v2",
    "input_format": "multimodal_npz",
    "train_samples": 2,
    "test_samples": 1
  },
  "configuration_sources": [
    "configuration.json",
    "conf/config.yaml",
    "model/skysense.py"
  ]
}