Dataset Versions

v3

2024-08-07 7:08am

Generated on Aug 7, 2024

Dataset Split

Train Set 92%
4320Images
Valid Set 6%
273Images
Test Set 2%
114Images

Preprocessing

Resize: Stretch to 320x320
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 2.5px

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