Data Pipeline, K-nearest Neighbors and Support Vector Machines

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). Traditional Active Learning has the following characteristics. Works well with small datasets and models with fewer parameters.

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How Active Learning Can Improve Your Computer Vision Pipeline

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