Dataset Versions
v2
2024-05-12 11:39pm
Generated on May 12, 2024
3080 Total Images
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Dataset Split
Train Set 96%
2970Images
Valid Set 2%
55Images
Test Set 2%
55Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 768x768
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 1.99% of pixels