sthalles/PyTorch-BYOL
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
This project helps machine learning engineers and researchers pre-train image recognition models effectively, even with limited labeled data. It takes raw, unlabeled image datasets and outputs highly effective visual feature extractors. These extractors can then be used to build accurate image classifiers or object detectors with much less labeled data than traditional supervised methods.
503 stars. No commits in the last 6 months.
Use this if you need to train robust image recognition models but have access to a large amount of unlabeled images and only a small labeled dataset.
Not ideal if you already have a large, high-quality labeled dataset for your specific image classification task.
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Jun 09, 2022
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