Dataset Versions
v7
2023-09-06 3:18pm
Generated on Sep 6, 2023
161 Total Images
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Dataset Split
Train Set 80%
129Images
Valid Set 9%
15Images
Test Set 11%
17Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Grayscale: Apply to 25% of images
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal, Vertical