Dataset Versions
v4
2022-12-14 5:50pm
Generated on Dec 14, 2022
547 Total Images
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Dataset Split
Train Set 82%
450Images
Valid Set 11%
62Images
Test Set 6%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 16 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 41% Maximum Zoom
Rotation: Between -37° and +37°
Saturation: Between -63% and +63%