Dataset Versions

v4

2024-10-22 11:01am

Generated on Oct 22, 2024

Dataset Split

Train Set 86%
18814Images
Valid Set 9%
1960Images
Test Set 4%
978Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-91% Horizontal Region, 25-86% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require at least 98% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 13% of images

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