Dataset Versions
v7
2023-11-15 12:01am
Generated on Nov 14, 2023
3905 Total Images
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Dataset Split
Train Set 88%
3417Images
Valid Set 8%
326Images
Test Set 4%
162Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Cutout: 4 boxes with 10% size each
Bounding Box: Flip: Horizontal, Vertical