Dataset Versions
v2
2023-09-01 3:34pm
Generated on Sep 1, 2023
1504 Total Images
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Dataset Split
Train Set 85%
1275Images
Valid Set 9%
131Images
Test Set 7%
98Images
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, 22% Maximum Zoom
Rotation: Between -17° and +17°
Shear: ±21° Horizontal, ±6° Vertical
Saturation: Between -39% and +39%
Brightness: Between -29% and +29%
Exposure: Between -13% and +13%
Blur: Up to 0.75px