Dataset Versions
v2
2023-11-24 11:13am
Generated on Nov 24, 2023
154 Total Images
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Dataset Split
Train Set 82%
126Images
Valid Set 9%
14Images
Test Set 9%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 5 dropped
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -8° and +8°
Saturation: Between -24% and +24%
Blur: Up to 1px
Noise: Up to 5% of pixels
Cutout: 7 boxes with 9% size each