config.json

{
  "model_name": "SatlasPretrain",
  "model_type": "satlaspretrain",
  "architectures": [
    "SatlasPretrain"
  ],
  "framework": "PyTorch",
  "domain": "earth-observation",
  "task": "remote-sensing-image-understanding",
  "implementation": {
    "entry_point": "model/satlaspretrain.py",
    "scope": "dual-resolution temporal hierarchy with feature pyramid fusion and seven remote-sensing task heads"
  },
  "architecture": {
    "family": "dual-sensor hierarchical encoder with temporal pooling and feature pyramid network",
    "highres_time_steps": 4,
    "highres_channels": 3,
    "highres_image_shape": [
      512,
      512
    ],
    "lowres_time_steps": 8,
    "lowres_channels": 9,
    "lowres_image_shape": [
      512,
      512
    ],
    "embed_dim": 8,
    "window_size": 4,
    "segmentation_classes": 4,
    "property_classes": 3,
    "classification_classes": 3,
    "task_heads": [
      "segmentation",
      "regression",
      "point",
      "polygon",
      "polyline",
      "property",
      "classification"
    ]
  },
  "data": {
    "datasets": [
      "SatlasPretrain",
      "NAIP",
      "Sentinel-2"
    ],
    "protocol": "satlas_naip4_sentinel2_8_512_npz_v2",
    "input_format": "BTCHW",
    "train_samples": 1,
    "test_samples": 1
  },
  "configuration_sources": [
    "configuration.json",
    "conf/config.yaml",
    "model/satlaspretrain.py"
  ]
}