Dataset Versions
v4
2022-12-03 11:33pm
Generated on Dec 3, 2022
688 Total Images
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Dataset Split
Train Set 82%
564Images
Valid Set 9%
61Images
Test Set 9%
63Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 3% of pixels