Dataset Versions
v1
2024-12-02 4:39pm
Generated on Dec 2, 2024
480 Total Images
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Dataset Split
Train Set 88%
420Images
Valid Set 8%
40Images
Test Set 4%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -34% and +34%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down