Dataset Versions
Versions
v1
2022-08-12 9:34am
Generated on Aug 12, 2022
3075 Total Images
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Dataset Split
Train Set 95%
2925Images
Valid Set 3%
93Images
Test Set 2%
57Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x230
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -25% and +25%
Brightness: Between 0% and +20%
Exposure: Between -5% and +5%
Blur: Up to 0.5px