| { | |
| "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": 7361, | |
| "instances": 7459, | |
| "backgrounds": 4704, | |
| "corrupt": 0, | |
| "notes": "YOLOv5 restored multiple corrupt JPEGs during scan." | |
| }, | |
| "metrics": { | |
| "precision": 0.776, | |
| "recall": 0.68, | |
| "map50": 0.747, | |
| "map50_95": 0.365 | |
| }, | |
| "runtime": { | |
| "preprocess_ms_per_image": 0.3, | |
| "inference_ms_per_image": 35.0, | |
| "nms_ms_per_image": 2.2, | |
| "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/exp4" | |
| }, | |
| "notes": "Run B is a low-light operational surface derived from ExDark metadata.csv (People -> COCO class 0 person). COCO pycocotools evaluation is not applicable to this custom ground-truth set." | |
| } | |