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industrial-damage-patchcore-bottle

Image Feature Extraction
PyTorch
English
anomaly-detection
computer-vision
industrial-inspection
patchcore
mvtec-ad
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xet
 Community
industrial-damage-patchcore-bottle
File size: 2,565 Bytes
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{
  "model": "PatchCore (Wide-ResNet-50-2)",
  "image_auroc": 1.0,
  "pixel_auroc": 0.9848,
  "aupro": 0.9376,
  "threshold_oracle": 17.6255,
  "f1_score_oracle": 1.0,
  "latency": {
    "mean_ms": 26.31,
    "median_ms": 26.25,
    "p95_ms": 27.51,
    "p99_ms": 28.23
  },
  "ablations": [
    {
      "name": "Baseline (Wide-ResNet-50-2, 10% Coreset, Smoothed, Max)",
      "backbone": "wide_resnet50_2",
      "coreset": "10%",
      "sigma": 4.0,
      "score": "max",
      "img_auroc": 1.0,
      "pix_auroc": 0.9847576161913671,
      "aupro": 0.9376155490308582,
      "mem_mb": 96.01171875,
      "latency_ms": 50.533762897353576,
      "fit_sec": 36.49598503112793
    },
    {
      "name": "Backbone: ResNet-18 (Lightweight Edge Model)",
      "backbone": "resnet18",
      "coreset": "10%",
      "sigma": 4.0,
      "score": "max",
      "img_auroc": 1.0,
      "pix_auroc": 0.9807200360311872,
      "aupro": 0.9259910850544127,
      "mem_mb": 24.0029296875,
      "latency_ms": 32.734560679240396,
      "fit_sec": 34.55542707443237
    },
    {
      "name": "Coreset: 5% Subsampling (~8k prototypes)",
      "backbone": "resnet18",
      "coreset": "5%",
      "sigma": 4.0,
      "score": "max",
      "img_auroc": 1.0,
      "pix_auroc": 0.9805517107263058,
      "aupro": 0.925901812220523,
      "mem_mb": 12.00146484375,
      "latency_ms": 31.451409121593798,
      "fit_sec": 20.21631360054016
    },
    {
      "name": "Coreset: 20% Subsampling (~32k prototypes)",
      "backbone": "resnet18",
      "coreset": "20%",
      "sigma": 4.0,
      "score": "max",
      "img_auroc": 1.0,
      "pix_auroc": 0.9807844158714837,
      "aupro": 0.9247464763757557,
      "mem_mb": 48.005859375,
      "latency_ms": 36.299288990985914,
      "fit_sec": 64.38630223274231
    },
    {
      "name": "Filtering: Raw Bilinear (No Gaussian, sigma=0.0)",
      "backbone": "resnet18",
      "coreset": "10%",
      "sigma": 0.0,
      "score": "max",
      "img_auroc": 1.0,
      "pix_auroc": 0.9809603833982007,
      "aupro": 0.9288506647415603,
      "mem_mb": 24.0029296875,
      "latency_ms": 34.37591173562659,
      "fit_sec": 35.04556965827942
    },
    {
      "name": "Scoring: Top-5 Mean Patch Distance (Speckle Robust)",
      "backbone": "resnet18",
      "coreset": "10%",
      "sigma": 4.0,
      "score": "top_k",
      "img_auroc": 1.0,
      "pix_auroc": 0.9807200360311872,
      "aupro": 0.9259910850544127,
      "mem_mb": 24.0029296875,
      "latency_ms": 42.58316970733275,
      "fit_sec": 34.67751359939575
    }
  ]
}