Dataset Versions
Versions
v1
1
Generated on Oct 4, 2024
239 Total Images
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Dataset Split
Train Set 97%
231Images
Valid Set 2%
4Images
Test Set 2%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Noise: Up to 0.1% of pixels