Download image_pipeline_evaluation.json from KirubaLS/parcelguard-reference-defect-detection: direct link, hf CLI and curl.
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- Download file 588 Bytes
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https://huggingface.co/KirubaLS/parcelguard-reference-defect-detection/resolve/main/image_pipeline_evaluation.json
- Command line
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hf download hf://KirubaLS/parcelguard-reference-defect-detection/image_pipeline_evaluation.json
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curl -L -o image_pipeline_evaluation.json https://huggingface.co/KirubaLS/parcelguard-reference-defect-detection/resolve/main/image_pipeline_evaluation.json
588 Bytes
| { | |
| "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" | |
| ] | |
| } |