Dataset Versions
v5
2024-01-14 12:03pm
Generated on Jan 14, 2024
1273 Total Images
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Dataset Split
Train Set 88%
1116Images
Valid Set 8%
107Images
Test Set 4%
50Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between 0% and +25%