Dataset Versions
v5
2024-06-11 1:05pm
Generated on Jun 11, 2024
1035 Total Images
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Dataset Split
Train Set 91%
939Images
Valid Set 6%
64Images
Test Set 3%
32Images
Preprocessing
Auto-Orient: Applied
Filter Null: Require at least 95% of images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels