defect-vision-efficientnet-b2 / classification_report.txt
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Add EfficientNet-B2 defect classifier: weights, model card, eval artifacts
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Test Loss : 0.6153 | Test Accuracy : 0.9556
precision recall f1-score support
defect1 0.9773 0.9556 0.9663 45
defect2 0.9375 1.0000 0.9677 45
defect3 1.0000 1.0000 1.0000 45
defect4 1.0000 1.0000 1.0000 45
defect5 0.9130 0.9333 0.9231 45
defect8 0.8837 0.8444 0.8636 45
defect9 0.9556 0.9556 0.9556 45
defect10 0.9773 0.9556 0.9663 45
new_good 0.0000 0.0000 0.0000 0
accuracy 0.9556 360
macro avg 0.8494 0.8494 0.8492 360
weighted avg 0.9555 0.9556 0.9553 360