Dataset Versions
v3
Experimental
Generated on Jun 14, 2024
11937 Total Images
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Dataset Split
Train Set 96%
11448Images
Valid Set 2%
245Images
Test Set 2%
244Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 224x224
Modify Classes: 0 remapped, 2 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px