Dataset Versions
v5
2023-06-09 7:22pm
Generated on Jun 9, 2023
5937 Total Images
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Dataset Split
Train Set 82%
4886Images
Valid Set 12%
702Images
Test Set 6%
349Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±30° Horizontal, ±30° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied