Dataset Versions
v1
2023-11-03 3:16am
Generated on Nov 2, 2023
2085 Total Images
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Dataset Split
Train Set 85%
1779Images
Valid Set 10%
207Images
Test Set 5%
99Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -26° and +26°
Saturation: Between -25% and +25%
Exposure: Between -38% and +38%
Blur: Up to 1px