Dataset Versions
v1
2023-11-02 2:18pm
Generated on Nov 2, 2023
3806 Total Images
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Dataset Split
Train Set 87%
3330Images
Valid Set 8%
318Images
Test Set 4%
158Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each