Dataset Versions

v3

2024-04-04 5:06pm

Generated on Apr 4, 2024

Dataset Split

Train Set 87%
880Images
Valid Set 8%
86Images
Test Set 5%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 320x320
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise

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