Dataset Versions
Versions
v7
2023-04-06 7:16pm
Generated on Apr 6, 2023
535 Total Images
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Dataset Split
Train Set 88%
471Images
Valid Set 8%
41Images
Test Set 4%
23Images
Preprocessing
Modify Classes: 4 remapped, 0 dropped
Filter Null: Require at least 30% of images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Hue: Between -90° and +90°
Saturation: Between -20% and +20%