segmentation Computer Vision Dataset
162 Total Images
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Dataset Split
Train Set 100%
162Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -45% and +45%
Brightness: Between -30% and +30%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels