Lightly is a computer vision framework for self-supervised learning.

With Lightly you can train deep learning models using self-supervision. This means, that you don’t require any labels to train a model. Lightly has been built to help you understand and work with large unlabeled datasets. It is built on top of PyTorch and therefore fully compatible with other frameworks such as

NEW Lightly now has integrated support for active learning in combination with the Lightly platform. Use the open-source framework to create embeddings of your unlabeled data and combine them with model predictions to select the most valuable samples for labeling. Check it out here: Tutorial 4: Active Learning using Detectron2 on Comma10k



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