2009, Data Pipeline and Support Vector Machines

How Active Learning Can Improve Your Computer Vision Pipeline

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DECEMBER 23, 2024

It operates on a large static pool of unlabeled data and selectively chooses the most informative samples for labeling. They are: Based on shallow, simple, and interpretable machine learning models like support vector machines (SVMs), decision trees, or k-nearest neighbors (kNN).

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How Active Learning Can Improve Your Computer Vision Pipeline

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