Dataset Versions
v5
2023-01-20 2:40pm
Generated on Jan 20, 2023
3484 Total Images
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Dataset Split
Train Set 78%
2730Images
Valid Set 11%
375Images
Test Set 11%
379Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -26% and +26%
Blur: Up to 4.75px
Noise: Up to 5% of pixels