Dataset Versions
v2
2023-07-22 1:33pm
Generated on Jul 22, 2023
360 Total Images
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Dataset Split
Train Set 88%
315Images
Valid Set 8%
30Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±25° Horizontal, ±25° Vertical
Blur: Up to 1.25px
Noise: Up to 6% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Shear: ±25° Horizontal, ±25° Vertical
Bounding Box: Blur: Up to 1.25px
Bounding Box: Noise: Up to 6% of pixels