In this tutorial, we explore the power of self-supervised learning using the Lightly AI framework. We begin by building a SimCLR model to learn meaningful image representations without labels, then generate and visualize embeddings using UMAP and t-SNE. We then dive into coreset selection techniques to curate data intelligently, simulate an active learning workflow, and […]
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