Dataset Versions
v6
2024-12-10 5:09pm
Generated on Dec 10, 2024
836 Total Images
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Dataset Split
Train Set 88%
735Images
Valid Set 11%
90Images
Test Set 1%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -2° and +2°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -4% and +4%
Noise: Up to 0.1% of pixels