Disease Classification Dataset

v11

new2

Generated on Oct 17, 2024

Dataset Split

Train Set 88%
2412Images
Valid Set 8%
227Images
Test Set 4%
106Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Rotation: Between -3° and +3°
Shear: ±3° Horizontal, ±5° Vertical
Saturation: Between -4% and +4%
Brightness: Between -5% and +5%
Blur: Up to 0.5px

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