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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: 1,145 Bytes
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{
  "overall_auroc": 0.8552598700649676,
  "overall_acc": 0.8233082706766918,
  "per_feature": {
    "angle": {
      "auroc": 0.5555555555555556,
      "accuracy": 0.9,
      "n_good": 27,
      "n_bad": 3
    },
    "dist1": {
      "auroc": 0.9142857142857143,
      "accuracy": 0.8709677419354839,
      "n_good": 21,
      "n_bad": 10
    },
    "dist6": {
      "auroc": 0.8277777777777778,
      "accuracy": 0.8333333333333334,
      "n_good": 30,
      "n_bad": 6
    },
    "dots": {
      "auroc": 0.8881118881118881,
      "accuracy": 0.8918918918918919,
      "n_good": 26,
      "n_bad": 11
    },
    "edge1": {
      "auroc": 0.8541666666666667,
      "accuracy": 0.8571428571428571,
      "n_good": 12,
      "n_bad": 16
    },
    "edge2": {
      "auroc": 0.7857142857142858,
      "accuracy": 0.717391304347826,
      "n_good": 18,
      "n_bad": 28
    },
    "edge3": {
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      "accuracy": 0.7857142857142857,
      "n_good": 16,
      "n_bad": 12
    },
    "edge4": {
      "auroc": 0.6597222222222222,
      "accuracy": 0.7666666666666667,
      "n_good": 24,
      "n_bad": 6
    }
  }
}