Dataset Versions
Versions
v1
2022-09-17 3:11pm
Generated on Sep 17, 2022
62 Total Images
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Dataset Split
Train Set 87%
54Images
Valid Set 8%
5Images
Test Set 5%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Shear: ±20° Horizontal, ±20° Vertical
Exposure: Between -25% and +25%
Blur: Up to 4px
Noise: Up to 10% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down