Dataset Versions
v3
2024-06-02 2:06pm
Generated on Jun 2, 2024
1224 Total Images
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Dataset Split
Train Set 88%
1071Images
Valid Set 8%
102Images
Test Set 4%
51Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%