Dataset Versions
v3
2024-02-02 1:18pm
Generated on Feb 2, 2024
288 Total Images
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Dataset Split
Train Set 89%
255Images
Valid Set 7%
20Images
Test Set 5%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -16% and +16%
Brightness: Between -14% and +14%
Exposure: Between -10% and +10%
Blur: Up to 1.6px
Noise: Up to 1.29% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -20° and +20°