Dataset Versions
v4
2024-06-17 7:58pm
Generated on Jun 17, 2024
31 Total Images
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Dataset Split
Train Set 87%
27Images
Valid Set 10%
3Images
Test Set 3%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
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
Blur: Up to 1px
Noise: Up to 1.84% of pixels