Dataset Versions
v1
2024-10-05 1:43pm
Generated on Oct 5, 2024
690 Total Images
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Dataset Split
Train Set 96%
660Images
Valid Set 4%
26Images
Test Set 1%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -5° and +5°
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -17% and +17%
Noise: Up to 0.38% of pixels