Dataset Versions
v2
2024-04-24 2:56pm
Generated on Apr 24, 2024
740 Total Images
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Dataset Split
Train Set 88%
648Images
Valid Set 8%
62Images
Test Set 4%
30Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.49% of pixels