Dataset Versions
v11
2024-10-01 12:14pm
Generated on Oct 1, 2024
17500 Total Images
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Dataset Split
Train Set 82%
14422Images
Valid Set 12%
2040Images
Test Set 6%
1038Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 4.1px
Noise: Up to 1.68% of pixels