Dataset Versions

v13

2024-05-21 12:40pm

Generated on May 21, 2024

Dataset Split

Train Set 78%
1623Images
Valid Set 11%
240Images
Test Set 11%
229Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%

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