Dataset Versions
v3
2022-08-04 6:25pm
Generated on Aug 4, 2022
1400 Total Images
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Dataset Split
Train Set 86%
1200Images
Valid Set 7%
100Images
Test Set 7%
100Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -60° and +60°
Saturation: Between -40% and +40%