Dataset Versions
Versions
v1
2024-05-27 9:02pm
Generated on May 27, 2024
106 Total Images
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Dataset Split
Train Set 88%
93Images
Valid Set 8%
9Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Cutout: 3 boxes with 10% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Noise: Up to 0.1% of pixels