wireee Computer Vision Model
464 Total Images
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Dataset Split
Train Set 97%
450Images
Valid Set 3%
12Images
Test Set 0%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1024x1024
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 10
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Brightness: Between -15% and +15%
Noise: Up to 1.01% of pixels