{ "model_id": "rohitm9/surfaceWaterGlobal", "version": "2.0.0-labelclass", "framework": [ "pytorch", "fastai" ], "task": "binary-semantic-segmentation", "architecture": "resnet34-unet-with-aef-bottleneck", "training_target": "Dynamic World label band, class 0 (water)", "training_tiles": { "total": 5278, "train": 4222, "valid": 1056 }, "inputs": { "sentinel_1": { "bands": 3, "order": [ "VV", "VH", "angle" ], "source": "Earth Engine COPERNICUS/S1_GRD, dB, 10 m" }, "alphaearth": { "bands": 64, "order": "source order", "source": "AlphaEarth Foundations annual embeddings v1" } }, "aef_projection": { "input_channels": 64, "output_channels": 16, "kernel_size": 1 }, "classes": [ "other", "water" ], "checkpoint": "models/s1aef_bottleneck_resnet34_best.pth", "normalization": "band_stats.npz", "checkpoint_sha256": "dd0252e2d08c693e3f88949a0a34a846f91dc7ab1668d91ba7ac0ddb688b06ec", "thresholds": { "validation_selected": 0.5, "paper_reference_set": 0.3, "test_time_augmentation": "four flips" }, "variants": { "variants/s1_only_k0_seed42": { "model_kind": "s1", "checkpoint": "models/s1dw_resnet34_best.pth", "checkpoint_sha256": "a5eab4f07d68256d5a7922a8943efb1b0a14cbc0a513315aff737426a57b6e68" }, "variants/s1_aef_previous_year_k16_seed42": { "model_kind": "s1aef", "checkpoint": "models/s1aef_bottleneck_resnet34_best.pth", "checkpoint_sha256": "5bd312409fcf86e0a49258c37aa95a53867a5a6b2cef4f73d2e527a3d6fb2717" } }, "evaluation_status": "published", "evaluation": { "validation_split": { "water_iou": 0.697666, "threshold": 0.5, "tta": true }, "planetscope_53_scenes": { "threshold": 0.3, "pooled_water_iou": 0.850797, "per_scene_mean_water_iou": 0.755753 }, "s1s2water_15_scenes": { "grid_m": 30, "threshold": 0.5, "pooled_water_iou_mean_3_seeds": 0.9529, "opera_dswx_s1_pooled_water_iou": 0.869 } }, "supersedes": { "tag": "v1-mixed-labels", "checkpoint_sha256": "3b89c5b768be8d8b5a00260693ca5d2a051ec63969234702903677b9e326138f", "reason": "trained on a mixture of binarized DW water probability and DW label class" } }