Dataset Versions
v3
2024-11-18 4:16pm
Generated on Nov 18, 2024
602 Total Images
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Dataset Split
Train Set 92%
552Images
Valid Set 6%
36Images
Test Set 2%
14Images
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