Dataset Versions
v3
lung_tumor_data_v3
Generated on Feb 23, 2024
1800 Total Images
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Dataset Split
Train Set 83%
1500Images
Valid Set 8%
150Images
Test Set 8%
150Images
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%