parcelguard-reference-defect-detection / image_pipeline_evaluation.json
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Update ParcelGuard raw-image inference pipeline
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{
"experiment": "reconstructed_resnet18_spatial_features",
"sample_size": 100,
"feature_names": [
"unaligned_mean",
"unaligned_p95"
],
"validation": "5-fold stratified out-of-fold predictions",
"threshold": 0.5,
"balanced_accuracy": 0.5941655941655941,
"precision": 0.4528301886792453,
"recall": 0.6486486486486487,
"f1": 0.5333333333333333,
"roc_auc": 0.607035607035607,
"limitations": [
"Small exploratory sample of 100 queries",
"Repeated experimentation on this sample may cause selection bias",
"Not a held-out production evaluation"
]
}