Dataset Versions
v22
Dataset 3
Generated on Nov 19, 2024
3340 Total Images
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Dataset Split
Train Set 92%
3084Images
Valid Set 4%
129Images
Test Set 4%
127Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -15% and +15%