Dataset Versions
v6
2024-06-26 4:59pm
Generated on Jun 26, 2024
3998 Total Images
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Dataset Split
Train Set 67%
2664Images
Valid Set 17%
669Images
Test Set 17%
665Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 5% of images
Hue: Between -5° and +5°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Blur: Up to 2px