spaceml-org/Self-Supervised-Learner
Curator can be used to train a classifier with fewer labeled examples needed using self-supervised learning.
This tool helps researchers and analysts classify images with high accuracy, even when they have a limited number of labeled examples. You provide a large collection of unlabeled images and a small set of labeled images; the tool then outputs an accurate image classifier. It's ideal for anyone who needs to categorize images but faces the challenge of scarce or expensive data labeling.
114 stars. No commits in the last 6 months.
Use this if you have a large dataset of images with very few labeled examples and need to build a high-performing image classification system.
Not ideal if you already have a fully labeled dataset or don't need to classify images.
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Last pushed
Jan 10, 2023
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