Dataset Versions
v2
2023-09-02 12:54pm
Generated on Sep 2, 2023
2582 Total Images
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Dataset Split
Train Set 87%
2238Images
Valid Set 9%
228Images
Test Set 4%
116Images
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, 32% Maximum Zoom
Rotation: Between -21° and +21°
Hue: Between -44° and +44°
Saturation: Between -29% and +29%