release-gate-records / run-a-baseline-repro /evaluation_metrics.json
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Update run-a-baseline-repro/evaluation_metrics.json
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{
"evaluator": {
"tool": "ultralytics/yolov5 val.py",
"yolov5_version_string": "YOLOv5 v7.0-460-g3fb11111",
"yolov5_git_commit": "3fb11111c6a8088fbc91430a1f99d207c16f0620",
"python": "3.13.5",
"torch": "2.10.0+cpu",
"device": "cpu"
},
"dataset_scan": {
"images": 5000,
"instances": 36335,
"backgrounds": 48,
"corrupt": 0
},
"metrics": {
"precision": 0.672,
"recall": 0.519,
"map50": 0.566,
"map50_95": 0.371
},
"pycocotools": {
"ap_50_95": 0.374,
"ap_50": 0.571,
"ap_75": 0.402,
"ap_small_50_95": 0.212,
"ap_medium_50_95": 0.423,
"ap_large_50_95": 0.49,
"ar_50_95_maxdet_1": 0.311,
"ar_50_95_maxdet_10": 0.515,
"ar_50_95_maxdet_100": 0.566
},
"runtime": {
"preprocess_ms_per_image": 0.4,
"inference_ms_per_image": 38.4,
"nms_ms_per_image": 3.1,
"batch_size": 32,
"imgsz": 640
},
"artifacts": {
"yolov5_predictions_json": "receipt_bundle/raw/yolov5s_predictions.json",
"yolov5_runs_dir_source": "C:/loko_release_gate/yolov5/runs/val/exp"
},
"notes": "Run A baseline evaluation completed successfully; decision recorded in release_certificate.json."
}