Dataset Versions
v2
2023-09-01 3:29pm
Generated on Sep 1, 2023
1021 Total Images
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Dataset Split
Train Set 88%
894Images
Valid Set 8%
85Images
Test Set 4%
42Images
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 -20° and +20°
Shear: ±8° Horizontal, ±9° Vertical
Brightness: Between -31% and +31%
Blur: Up to 1px