Dataset Versions
v1
2024-12-05 2:03pm
Generated on Dec 5, 2024
670 Total Images
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Dataset Split
Train Set 88%
588Images
Valid Set 11%
74Images
Test Set 1%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -4% and +4%