Dataset Versions
Versions
v1
2024-11-02 5:09am
Generated on Nov 2, 2024
92 Total Images
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Dataset Split
Train Set 88%
81Images
Valid Set 3%
3Images
Test Set 9%
8Images
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 -22° and +22°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images