Dataset Versions
v1
2024-04-02 11:53am
Generated on Apr 2, 2024
542 Total Images
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Dataset Split
Train Set 87%
474Images
Valid Set 8%
45Images
Test Set 4%
23Images
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, 20% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels