Dataset Versions
v2
2024-08-02 10:30pm
Generated on Aug 2, 2024
134 Total Images
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Dataset Split
Train Set 87%
117Images
Valid Set 8%
11Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±5° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 1.68% of pixels