Dataset Versions
v4
Rebalanced
Generated on Mar 2, 2024
483 Total Images
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Dataset Split
Train Set 92%
443Images
Valid Set 6%
30Images
Test Set 2%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down