Vehicles Computer Vision Model
65 Total Images
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Dataset Split
Train Set 88%
57Images
Valid Set 6%
4Images
Test Set 6%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 432x432
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Brightness: Between -15% and +15%