Dataset Versions

v8

2024-02-12 3:22pm

Generated on Feb 12, 2024

Dataset Split

Train Set 88%
285Images
Valid Set 8%
27Images
Test Set 4%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Hue: Between -34° and +34°
Brightness: Between -32% and +32%
Exposure: Between -6% and +6%
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -20° and +20°

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