Dataset Versions
v5
2024-07-01 11:18am
Generated on Jul 1, 2024
657 Total Images
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Dataset Split
Train Set 92%
605Images
Valid Set 5%
34Images
Test Set 3%
18Images
Preprocessing
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -5° and +5°
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%