Dataset Versions
v2
Data augmentation and eq processing
Generated on Feb 7, 2024
71 Total Images
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Dataset Split
Train Set 80%
57Images
Valid Set 11%
8Images
Test Set 8%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -17% and +17%