Dataset Versions
v1
2024-09-04 9:24pm
Generated on Sep 4, 2024
5200 Total Images
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Dataset Split
Train Set 92%
4800Images
Valid Set 4%
200Images
Test Set 4%
200Images
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 -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 1.88% of pixels