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Cleanlab can help you decide what images would be most informative for you (or your labeling team) to label, i.e. what is called active learning: https://cleanlab.ai/blog/active-learning/ Cleanlab is also very useful in help you decide which labels are worth a second a look because they appear likely incorrect (reviewing dataset labels). If you're just interested in predicting the labels of images in test data, that would simply be a standard machine learning task. Cleanlab can help you train better models for this ML task (by improving the training dataset), but it is not a ML framework to produce such predictions directly. See more about this here: #696 |
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Cleanlab can be used to assign labels for images?
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