Dataset Versions
v3
2024-06-07 8:06pm
Generated on Jun 7, 2024
760 Total Images
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Dataset Split
Train Set 87%
663Images
Valid Set 8%
63Images
Test Set 4%
34Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 19% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 0.4px
Noise: Up to 0.1% of pixels