Defect detection Dataset

v3

2023-09-17 5:07pm

Generated on Sep 17, 2023

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Dataset Split

Train Set 88%
1575Images
Valid Set 8%
140Images
Test Set 4%
75Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Saturation: Between -16% and +16%
Brightness: Between -25% and +25%
Exposure: Between -18% and +18%
Blur: Up to 2.5px
Noise: Up to 2% of pixels