Dataset Versions
Versions
v2
2024-04-13 7:02pm
Generated on Apr 13, 2024
191 Total Images
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Dataset Split
Train Set 84%
160Images
Valid Set 12%
22Images
Test Set 5%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 225x225
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels