Dataset Versions
v3
Lung_Tumor_datav3
Generated on Feb 29, 2024
3654 Total Images
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Dataset Split
Train Set 82%
3006Images
Valid Set 9%
324Images
Test Set 9%
324Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -15% and +15%