Dataset Versions
Versions
v1
2023-10-31 5:19pm
Generated on Oct 31, 2023
160 Total Images
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Dataset Split
Train Set 83%
132Images
Valid Set 8%
12Images
Test Set 10%
16Images
Preprocessing
Auto-Orient: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°