config.json

{
  "model_name": "SkySense",
  "model_type": "skysense",
  "architectures": [
    "SkySense"
  ],
  "framework": "PyTorch",
  "domain": "earth-science",
  "task": "remote-sensing-multimodal-semantic-segmentation",
  "implementation": {
    "entry_point": "model/skysense.py",
    "scope": "compact multi-modal temporal SkySense reproduction"
  },
  "architecture": {
    "family": "multi-modal temporal remote sensing encoder",
    "input_format": "NPZ multimodal temporal arrays",
    "modalities": [
      "high-resolution RGB",
      "Sentinel-2 multispectral",
      "Sentinel-1 SAR"
    ],
    "image_size": 32,
    "embed_dim": 32,
    "patch_size": 4,
    "temporal_depth": 2,
    "temporal_heads": 4,
    "task": "semantic segmentation"
  },
  "data": {
    "dataset": "SkySense pretraining data",
    "official_paper": "https://arxiv.org/abs/2312.10115",
    "protocol": "synthetic_skysense_npz",
    "synthetic_train_samples": 24,
    "synthetic_test_samples": 8
  },
  "metrics": [
    "pixel_accuracy",
    "mean_iou",
    "per_class_iou"
  ],
  "configuration_sources": [
    "conf/config.yaml",
    "model/skysense.py"
  ]
}