Dataset Versions
v5
2024-11-20 1:27pm
Generated on Nov 20, 2024
722 Total Images
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Dataset Split
Train Set 91%
657Images
Valid Set 6%
46Images
Test Set 3%
19Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Saturation: Between -32% and +32%
Blur: Up to 1.1px
Noise: Up to 1.8% of pixels