Liposarcoma Identification Dataset
Versions
v15
Final Version
Generated on May 14, 2024
296 Total Images
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Dataset Split
Train Set 83%
246Images
Valid Set 13%
38Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between -11% and +11%
Exposure: Between -10% and +10%
Blur: Up to 0.9px