Dataset Versions
v6
2023-08-21 1:48pm
Generated on Aug 21, 2023
144 Total Images
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Dataset Split
Train Set 88%
126Images
Valid Set 2%
3Images
Test Set 10%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±14° Horizontal, ±8° Vertical
Grayscale: Apply to 20% of images
Hue: Between -94° and +94°
Brightness: Between -17% and +17%
Noise: Up to 5% of pixels