Dataset Versions

v5

2024-10-17 11:58pm

Generated on Oct 17, 2024

Dataset Split

Train Set 83%
2662Images
Valid Set 10%
324Images
Test Set 6%
203Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 63% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°

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