Dataset Versions
Versions
v1
2024-12-24 2:30pm
Generated on Dec 24, 2024
988 Total Images
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Dataset Split
Train Set 96%
945Images
Valid Set 4%
36Images
Test Set 1%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±8° Horizontal, ±15° Vertical
Grayscale: Apply to 13% of images
Hue: Between -19° and +19°
Saturation: Between -17% and +17%
Brightness: Between -13% and +13%
Blur: Up to 2.5px