Dataset Versions

v4

2024-06-07 9:45am

Generated on Jun 7, 2024

Dataset Split

Train Set 87%
669Images
Valid Set 8%
64Images
Test Set 4%
32Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Noise: Up to 0.1% of pixels

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