Dataset Versions
v7
2024-05-01 4:24pm
Generated on May 1, 2024
1806 Total Images
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Dataset Split
Train Set 86%
1552Images
Valid Set 6%
102Images
Test Set 8%
152Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Saturation: Between -34% and +34%
Brightness: Between -15% and +15%
Exposure: Between -17% and +17%
Blur: Up to 2px
Bounding Box: Shear: ±11° Horizontal, ±11° Vertical