Dataset Versions
v3
2024-08-26 7:36am
Generated on Aug 26, 2024
34 Total Images
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Dataset Split
Train Set 79%
27Images
Valid Set 6%
2Images
Test Set 15%
5Images
Preprocessing
Auto-Orient: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical