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This tutorial shares a date inspection notebook for semantic segmentation data sets. It helps in quickly identifying and saving noisy images from a dataset for later filtering. The notebook allows users to view images, ground truths, and masks added to each image for tasks like food semantic segmentation. It is a useful tool for working with large datasets and ensuring data cleanliness.