Dataset Versions
v4
has augmentations
Generated on Nov 29, 2024
144 Total Images
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Dataset Split
Train Set 88%
126Images
Valid Set 8%
12Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1024x1024
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -5° and +5°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Noise: Up to 1.01% of pixels