Dataset Versions

v5

V1_positive_and_CG

Generated on Sep 22, 2024

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Dataset Split

Train Set 90%
2874Images
Valid Set 9%
274Images
Test Set 2%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Exposure: Between -10% and +10%

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