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ahmed-3m
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InkjetOOD

PyTorch
conditional-diffusion
inkjet-quality-control
yolo
out-of-distribution-detection
anomaly-detection
thesis
Model card Files
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InkjetOOD
File size: 1,144 Bytes
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{
  "overall_auroc": 0.854135432283858,
  "overall_acc": 0.8007518796992481,
  "per_feature": {
    "angle": {
      "auroc": 0.617283950617284,
      "accuracy": 0.8666666666666667,
      "n_good": 27,
      "n_bad": 3
    },
    "dist1": {
      "auroc": 0.9428571428571428,
      "accuracy": 0.8387096774193549,
      "n_good": 21,
      "n_bad": 10
    },
    "dist6": {
      "auroc": 0.8388888888888889,
      "accuracy": 0.9444444444444444,
      "n_good": 30,
      "n_bad": 6
    },
    "dots": {
      "auroc": 0.9125874125874126,
      "accuracy": 0.972972972972973,
      "n_good": 26,
      "n_bad": 11
    },
    "edge1": {
      "auroc": 0.8593750000000001,
      "accuracy": 0.8214285714285714,
      "n_good": 12,
      "n_bad": 16
    },
    "edge2": {
      "auroc": 0.6785714285714287,
      "accuracy": 0.5869565217391305,
      "n_good": 18,
      "n_bad": 28
    },
    "edge3": {
      "auroc": 0.7708333333333334,
      "accuracy": 0.75,
      "n_good": 16,
      "n_bad": 12
    },
    "edge4": {
      "auroc": 0.6805555555555556,
      "accuracy": 0.6666666666666666,
      "n_good": 24,
      "n_bad": 6
    }
  }
}