Dataset Versions
v1
2022-11-26 11:47am
Generated on Nov 26, 2022
5196 Total Images
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Dataset Split
Train Set 92%
4785Images
Valid Set 4%
206Images
Test Set 4%
205Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
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 -25° and +25°
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels