Dataset Versions
Versions
v1
2024-09-14 9:30pm
Generated on Sep 14, 2024
147 Total Images
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Dataset Split
Train Set 88%
129Images
Valid Set 8%
12Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±12° Vertical
Grayscale: Apply to 10% of images
Blur: Up to 1px