| { | |
| "models": { | |
| "X1": { | |
| "model": "X1", | |
| "model_sha256": "140833e796436c0fa3aed38ffd7dc7d347decefd2b2663a28b28c8979d1d0a82", | |
| "native_image_size": 320, | |
| "sample_sha256": "20a60e7a747cdf9a698a464c9d324612aad2ca6b43a541db0813554eb9af8694", | |
| "shared_tags": 13569, | |
| "supported_shared_tags": 13394, | |
| "binned_mAP": 0.5290907035649586, | |
| "exact_mAP": 0.531654937336375, | |
| "best_grid_micro_f1": 0.6515133755136089, | |
| "best_grid_threshold": 0.7035175561904907, | |
| "precision_at_best_grid": 0.6837121609113485, | |
| "recall_at_best_grid": 0.6222109329820729, | |
| "preprocessing": "FP32 RGB, native resolution, downscale-only centered LANCZOS letterbox, mean/std 0.5, pad 114, True=padding" | |
| }, | |
| "V1.1": { | |
| "model": "V1.1", | |
| "model_sha256": "8567852deb135eccfe4b8445d48e4476ee8846436486679adc0642cfeda07d13", | |
| "native_image_size": 448, | |
| "sample_sha256": "20a60e7a747cdf9a698a464c9d324612aad2ca6b43a541db0813554eb9af8694", | |
| "shared_tags": 13569, | |
| "supported_shared_tags": 13394, | |
| "binned_mAP": 0.5886105397423468, | |
| "exact_mAP": 0.5927161263163755, | |
| "best_grid_micro_f1": 0.6658638534826367, | |
| "best_grid_threshold": 0.7989949584007263, | |
| "precision_at_best_grid": 0.6852139862873703, | |
| "recall_at_best_grid": 0.6475765838848551, | |
| "preprocessing": "FP32 RGB, native resolution, downscale-only centered LANCZOS letterbox, mean/std 0.5, pad 114, True=padding" | |
| } | |
| }, | |
| "shared_tags": 13569, | |
| "supported_shared_tags": 13394, | |
| "x1_wins": 2466, | |
| "v11_wins": 9572, | |
| "ties": 1356, | |
| "x1_minus_v11_exact_mAP": -0.06106118898000046, | |
| "comparability": "Same image identities and targets; one-to-one shared vocabulary, unsupported tags excluded, native resolution, same FP32 preprocessing algorithm and CUDA EP. This is a development-set comparison; V1.1 training overlap is unverified and may favor V1.1. It is not independent evidence of generalization superiority." | |
| } |