Dataset Versions
Versions
v1
2024-04-26 6:33pm
Generated on Apr 26, 2024
29 Total Images
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Dataset Split
Train Set 97%
28Images
Valid Set 3%
1Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±12° Vertical
Blur: Up to 2.5px
Noise: Up to 0.26% of pixels