Medecine classification Computer Vision Model
2164 Total Images
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Dataset Split
Train Set 88%
1908Images
Valid Set 8%
165Images
Test Set 4%
91Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±14° Vertical
Grayscale: Apply to 22% of images
Brightness: Between -20% and +20%
Noise: Up to 1.29% of pixels