models/MODEL_MANIFEST.json

{
  "project": "SatQuery AI",
  "team": "CodeBlueX",
  "competition": "Smart India Hackathon 2026",
  "problem_statement_id": "26167",
  "organization": "ISRO / Department of Space",
  "model_repository": "AnirudhShashikumar/SatQuery_AI_Models",
  "repository_visibility": "private",

  "public_upstream_dependencies": [
    {
      "name": "OpenCLIP ViT-L-14 laion2b_s32b_b82k",
      "repository": "laion/CLIP-ViT-L-14-laion2B-s32B-b82K",
      "revision": "1627032197142fbe2a7cfec626f4ced3ae60d07a",
      "artifact": "open_clip_pytorch_model.safetensors",
      "visibility": "public",
      "codebluex_trained": false,
      "used_by": "SatQuery Vision Encoder v1 reconstruction"
    },
    {
      "name": "BLIP image-captioning base RSICD fine-tune",
      "repository": "Gurveer05/blip-image-captioning-base-rscid-finetuned",
      "revision": "57c4f0ff06264d374131637ce7c1e8dea079d589",
      "visibility": "public",
      "codebluex_trained": false,
      "used_by": "RSICD captioner"
    }
  ],

  "codebluex_artifacts": [
    {
      "name": "SatQuery Vision Encoder v1 Adapter",
      "path": "satquery_vision_encoder_v1/satquery_vision_encoder_v1_adapter.pt",
      "sha256": "a99c0bf0fb44044988ef1698483888c8a2e3a047d2d2d56478837575cf7626ea",
      "provenance": "CodeBlueX remote-sensing adaptation",
      "base_architecture": "OpenCLIP ViT-L/14"
    },
    {
      "name": "RSVQA Specialist v1 Head",
      "path": "rsvqa_specialist_v1/rsvqa_specialist_v1_head.pt",
      "sha256": "71c0ab56ee650813bd495e8a3bc777353b6907a097af860e417f60523efe56ad",
      "provenance": "CodeBlueX trained/adapted specialist head",
      "benchmark": {
        "dataset": "RSVQA-LR official test split",
        "samples": 10004,
        "exact_accuracy_percent": 71.05,
        "overflow_aware_accuracy_percent": 74.31
      }
    },
    {
      "name": "Grounding Specialist v1.1 Head",
      "path": "grounding_specialist_v1_1/grounding_specialist_v1_1_head.pt",
      "sha256": "5e8db30becadb1d063fc0154614ee2a2a4b7a2c2923db3fce4ff036c65007342",
      "provenance": "CodeBlueX trained/adapted grounding specialist head",
      "benchmark": {
        "dataset": "VRSBench validation",
        "samples": 16146,
        "miou": 0.2348,
        "accuracy_at_0_50_percent": 25.05
      }
    },
    {
      "name": "Pix2Pix SAR Reconstruction Checkpoint",
      "path": "sar_translation/pix2pix/pix2pix_gen_180.pth",
      "local_path": "../pix2pix_gen_180.pth",
      "sha256": "5bdc6bf9b29986860d6537265280bb47b74f85ebe1222256ddc59acce3a743b3",
      "provenance": "CodeBlueX SatQuery SAR reconstruction pipeline",
      "architecture": "Pix2Pix"
    },
    {
      "name": "SARFusionFormer SAR Reconstruction Checkpoint",
      "path": "sar_translation/sarfusionformer/sarfusionformer_256_decoder_best.pt",
      "local_path": "../models/checkpoints/sarfusionformer_256_decoder_best.pt",
      "sha256": "6c8ac2d482b66877a910a9c95e6398f9e0586f13f786d0243c736a2d10b30548",
      "provenance": "CodeBlueX SatQuery SAR reconstruction pipeline",
      "architecture": "SARFusionFormer"
    },
    {
      "name": "SARFusionFormer Color Corrector",
      "path": "sar_translation/sarfusionformer/color_corrector_256_best.pt",
      "local_path": "../models/checkpoints/color_corrector_256_best.pt",
      "sha256": "15298976fbffe93c16d81716c40fe3c7a09499e63e649edd4de9a1fd70ec675d",
      "provenance": "CodeBlueX SatQuery SAR reconstruction pipeline",
      "architecture": "ColorCorrectionNet"
    }
  ],

  "third_party_components": [
    {
      "name": "Grounding DINO Tiny",
      "local_path": "models/grounding_dino_tiny/model.safetensors",
      "sha256": "1a2412ef99bd74bcd3c2a246fa1e48581f8889a1300c9051974741314fc042f3",
      "provenance": "Third-party pretrained base model",
      "codebluex_trained": false
    },
    {
      "name": "ChangerEx",
      "local_path": "models/changerex/ChangerEx_r18-512x512_40k_levircd_20221223_120511.pth",
      "sha256": "da3f569306dadd1fac5b64abc2a3d484571cd0ecf6410e1f152275cfe49a3618",
      "provenance": "Third-party pretrained checkpoint",
      "codebluex_trained": false
    }
  ]
}