segmentation Computer Vision Dataset
Versions
92 Total Images
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Dataset Split
Train Set 88%
81Images
Valid Set %
0Images
Test Set 12%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Blur: Up to 2.5px