Dataset Versions
v5
2024-04-09 1:25am
Generated on Apr 8, 2024
4789 Total Images
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Dataset Split
Train Set 98%
4689Images
Valid Set 2%
90Images
Test Set 0%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 12 remapped, 13 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -6% and +6%
Blur: Up to 1px