Dataset Versions
v5
2024-12-19 2:21pm
Generated on Dec 19, 2024
5632 Total Images
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Dataset Split
Train Set 88%
4948Images
Valid Set 6%
350Images
Test Set 6%
334Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 4
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels