Dataset Versions
v4
2024-02-18 4:26pm
Generated on Feb 18, 2024
3649 Total Images
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Dataset Split
Train Set 84%
3063Images
Valid Set 12%
436Images
Test Set 4%
150Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -18° and +18°
Shear: ±15° Horizontal, ±16° Vertical
Blur: Up to 1.6px
Noise: Up to 1.01% of pixels