Dataset Versions
v2
2022-07-18 12:03pm
Generated on Jul 18, 2022
1200 Total Images
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Dataset Split
Train Set 100%
1200Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%