Dataset Versions
Versions
v1
2024-12-19 2:44pm
Generated on Dec 19, 2024
617 Total Images
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Dataset Split
Train Set 89%
549Images
Valid Set 9%
55Images
Test Set 2%
13Images
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
Grayscale: Apply to 2% of images
Saturation: Between -20% and +20%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 1px