CuriousAI/mean-teacher
A state-of-the-art semi-supervised method for image recognition
This project helps you accurately categorize images, like identifying objects in photos, even when you have very few labeled examples. It takes a mix of your labeled images and a large collection of unlabeled images, then produces a highly accurate image recognition model. It's ideal for machine learning practitioners or researchers who need to build robust image classification systems with limited annotation budgets.
1,658 stars. No commits in the last 6 months.
Use this if you need to train a high-performing image recognition model but only have a small number of images with human-provided labels.
Not ideal if you have abundant labeled image data or if your task is not image classification.
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1,658
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341
Language
Python
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Last pushed
Oct 08, 2020
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