Dataset Versions
v8
wound-assessment
Generated on Dec 13, 2024
16085 Total Images
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Dataset Split
Train Set 95%
15351Images
Valid Set 2%
389Images
Test Set 2%
345Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 4px
Noise: Up to 1.96% of pixels