Language Classification Computer Vision Model
Versions
125 Total Images
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Dataset Split
Train Set 84%
105Images
Valid Set 8%
10Images
Test Set 8%
10Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-60% Horizontal Region, 25-65% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Brightness: Between -25% and +25%
Noise: Up to 1.49% of pixels