Severity Classification Dataset

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2024-07-06 8:02am
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Generated on Jul 6, 2024
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Dataset Split

Train Set 88%
795Images
Valid Set 8%
74Images
Test Set 4%
35Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.05% of pixels
Cutout: 3 boxes with 10% size each

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