Industrial_Object_Detection_Pipeline/metrics_report.json at main · UtkarshVerma1998/Industrial_Object_Detection_Pipeline · GitHub

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{
  "evaluation_summary": {
    "reviewed_images": 136,
    "total_images": 359
  },
  "image_level_metrics": {
    "scratch": {
      "TP": 63,
      "FP": 92,
      "FN": 15,
      "precision": 0.4065,
      "recall": 0.8077,
      "f1": 0.5408
    },
    "edge_damage": {
      "TP": 93,
      "FP": 3,
      "FN": 39,
      "precision": 0.9688,
      "recall": 0.7045,
      "f1": 0.8158
    },
    "combined": {
      "precision": 0.6215,
      "recall": 0.7429,
      "f1": 0.6768
    }
  },
  "estimated_mf1_0.5_0.95": {
    "scratch": 0.4916,
    "edge": 0.752,
    "combined": 0.6218
  },
  "per_threshold": {
    "0.50": {
      "scratch_f1": 0.5408,
      "edge_f1": 0.8158
    },
    "0.55": {
      "scratch_f1": 0.5408,
      "edge_f1": 0.8158
    },
    "0.60": {
      "scratch_f1": 0.5408,
      "edge_f1": 0.8158
    },
    "0.65": {
      "scratch_f1": 0.5281,
      "edge_f1": 0.7946
    },
    "0.70": {
      "scratch_f1": 0.5088,
      "edge_f1": 0.7727
    },
    "0.75": {
      "scratch_f1": 0.4889,
      "edge_f1": 0.75
    },
    "0.80": {
      "scratch_f1": 0.4685,
      "edge_f1": 0.7264
    },
    "0.85": {
      "scratch_f1": 0.4545,
      "edge_f1": 0.7019
    },
    "0.90": {
      "scratch_f1": 0.4332,
      "edge_f1": 0.6765
    },
    "0.95": {
      "scratch_f1": 0.4112,
      "edge_f1": 0.65
    }
  },
  "note": "Metrics computed from image-level manual review (136 images). mF1@0.5-0.95 is estimated via IoU threshold simulation. True evaluation requires bounding-box ground truth labels."
}