Dataset Versions
v3
2024-01-26 4:09pm
Generated on Jan 26, 2024
1535 Total Images
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Dataset Split
Train Set 92%
1410Images
Valid Set 4%
59Images
Test Set 4%
66Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Brightness: Between -20% and +20%