Defect Detection V1 Dataset

v6

2022-10-28 11:38am

Generated on Oct 28, 2022

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Dataset Split

Train Set 88%
4392Images
Valid Set 8%
413Images
Test Set 4%
211Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 2% of pixels

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