Dataset Versions
v1
2023-08-22 8:57am
Generated on Aug 22, 2023
330 Total Images
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Dataset Split
Train Set 87%
288Images
Valid Set 8%
28Images
Test Set 4%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 100% of images
Brightness: Between -50% and +50%
Blur: Up to 0.5px