Dataset Versions
v4
aug
Generated on Jul 19, 2023
4651 Total Images
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Dataset Split
Train Set 88%
4071Images
Valid Set 8%
387Images
Test Set 4%
193Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -45° and +45°
Saturation: Between -35% and +35%
Brightness: Between -31% and +31%
Exposure: Between -20% and +20%
Blur: Up to 3px