Dataset Versions
v1
2023-06-04 12:31pm
Generated on Jun 4, 2023
168 Total Images
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Dataset Split
Train Set 88%
147Images
Valid Set 8%
14Images
Test Set 4%
7Images
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
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -7% and +7%