Dataset Versions
v2
2023-10-30 9:30pm
Generated on Oct 30, 2023
764 Total Images
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Dataset Split
Train Set 93%
708Images
Valid Set 4%
28Images
Test Set 4%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 6% Minimum Zoom, 25% Maximum Zoom
Saturation: Between -44% and +44%
Exposure: Between -20% and +20%
Noise: Up to 1% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down