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Shrini discusses evaluating semantic segmentation using intersection over union approach. Semantic segmentation classifies individual pixels rather than whole images. Accuracy is not ideal for multi-class problems due to class imbalance. Instead, intersection over union is a better metric for evaluating semantic segmentation.
