Dataset Versions

v7

2024-12-13 3:45pm

Generated on Dec 13, 2024

Dataset Split

Train Set 87%
1764Images
Valid Set 10%
195Images
Test Set 3%
69Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Exposure: Between -4% and +4%
Blur: Up to 0.1px

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