Dataset Versions
Versions
v1
2024-03-26 12:00pm
Generated on Mar 26, 2024
2269 Total Images
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Dataset Split
Train Set 75%
1710Images
Valid Set 20%
448Images
Test Set 5%
111Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1.49% of pixels