Dataset Versions
v2
2024-11-25 1:42pm
Generated on Nov 25, 2024
3704 Total Images
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Dataset Split
Train Set 88%
3267Images
Valid Set 8%
304Images
Test Set 4%
133Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 1280x720
Augmentations
Outputs per training example: 3
Flip: Horizontal
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.2px
Noise: Up to 1.56% of pixels