Dataset Versions
v4
2024-08-15 5:52am
Generated on Aug 15, 2024
787 Total Images
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Dataset Split
Train Set 87%
687Images
Valid Set 9%
67Images
Test Set 4%
33Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -13° and +13°
Saturation: Between -27% and +27%
Brightness: Between -30% and +30%
Blur: Up to 4.6px