Dataset Versions
v2
2024-04-02 3:45pm
Generated on Apr 2, 2024
5162 Total Images
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Dataset Split
Train Set 94%
4836Images
Valid Set 4%
213Images
Test Set 2%
113Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 7% of images
Hue: Between -13° and +13°
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%
Exposure: Between -14% and +14%
Blur: Up to 0.7px
Noise: Up to 1.68% of pixels