Dataset Versions
v1
2024-01-25 4:20pm
Generated on Jan 25, 2024
203 Total Images
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Dataset Split
Train Set 86%
174Images
Valid Set 9%
19Images
Test Set 5%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 960x960
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.8px