Dataset Versions
v4
Train Valid Augmentations
Generated on Sep 17, 2023
168 Total Images
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Dataset Split
Train Set 96%
162Images
Valid Set 4%
6Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 35% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Saturation: Between -30% and +30%
Brightness: Between -35% and +35%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 2% of pixels