Dataset Versions
v1
Semantic Segmentation Model
Generated on Mar 18, 2023
635 Total Images
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Dataset Split
Train Set 87%
555Images
Valid Set 8%
53Images
Test Set 4%
27Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Noise: Up to 5% of pixels