Dataset Versions
v2
2024-12-13 11:15pm
Generated on Dec 13, 2024
559 Total Images
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Dataset Split
Train Set 91%
511Images
Valid Set 6%
36Images
Test Set 2%
12Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels