Dataset Versions
Versions
v1
2023-09-08 12:06pm
Generated on Sep 8, 2023
261 Total Images
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Dataset Split
Train Set 87%
228Images
Valid Set 8%
22Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 400x400
Modify Classes: 3 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°