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This video tutorial discusses the best way to evaluate semantic segmentation using the intersection over union approach. Semantic segmentation involves classifying individual pixels instead of entire images, such as distinguishing between pixels belonging to a cat or a dog. Accuracy, calculated through scikit learn metrics, may not be a suitable metric for multi-class problems with class imbalances. The focus is on identifying pixels accurately for better segmentation results.
