Dataset Versions
Versions
v1
2024-02-22 3:04pm
Generated on Feb 22, 2024
1100 Total Images
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Dataset Split
Train Set 88%
963Images
Valid Set 8%
91Images
Test Set 4%
46Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 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