Dataset Versions
v4
2024-08-11 1:26am
Generated on Aug 11, 2024
1629 Total Images
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Dataset Split
Train Set 90%
1467Images
Valid Set 8%
131Images
Test Set 2%
31Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 14% of images
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -12% and +12%
Blur: Up to 1.3px