How Active Learning Can Improve Your Computer Vision Pipeline
DagsHub
DECEMBER 23, 2024
They are: Based on shallow, simple, and interpretable machine learning models like support vector machines (SVMs), decision trees, or k-nearest neighbors (kNN). Relies on explicit decision boundaries or feature representations for sample selection. Libact : It is a Python package for active learning.
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