Dataset Versions
Versions
v1
2024-02-23 12:03am
Generated on Feb 22, 2024
3965 Total Images
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Dataset Split
Train Set 88%
3471Images
Valid Set 8%
330Images
Test Set 4%
164Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 16 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels