Dataset Versions
v3
Dataset without background
Generated on Sep 5, 2023
515 Total Images
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Dataset Split
Train Set 87%
450Images
Valid Set 9%
44Images
Test Set 4%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Modify Classes: 5 remapped, 3 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°