Dataset Versions
v1
2024-09-02 8:36am
Generated on Sep 2, 2024
5378 Total Images
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Dataset Split
Train Set 94%
5068Images
Valid Set 4%
207Images
Test Set 2%
103Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x480
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1% of pixels