Dataset Versions
v4
2024-05-12 2:30am
Generated on May 11, 2024
7079 Total Images
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Dataset Split
Train Set 89%
6291Images
Valid Set 9%
630Images
Test Set 2%
158Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x360
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -25% and +25%
Noise: Up to 1.92% of pixels