Dataset Versions
v2
2024-07-28 6:11pm
Generated on Jul 28, 2024
4240 Total Images
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Dataset Split
Train Set 74%
3128Images
Valid Set 16%
674Images
Test Set 10%
438Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 4
Rotation: Between -20° and +20°
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Blur: Up to 3.3px
Noise: Up to 4.65% of pixels