Dataset Versions
v5
2024-06-02 5:52pm
Generated on Jun 2, 2024
2400 Total Images
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Dataset Split
Train Set 88%
2100Images
Valid Set 8%
200Images
Test Set 4%
100Images
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, 10% Maximum Zoom
Saturation: Between -20% and +20%
Blur: Up to 1.5px