Dataset Versions
v8
2022-10-11 4:20pm
Generated on Oct 11, 2022
464 Total Images
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Dataset Split
Train Set 91%
423Images
Valid Set 9%
41Images
Test Set %
0Images
Preprocessing
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -45° and +45°
Blur: Up to 0.5px
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -9° and +9°
Bounding Box: Noise: Up to 2% of pixels