How Active Learning Can Improve Your Computer Vision Pipeline
DagsHub
DECEMBER 23, 2024
It operates on a large static pool of unlabeled data and selectively chooses the most informative samples for labeling. Traditional Active Learning has the following characteristics. For each type, we will have an overview, key characteristics, applications, and advantages so that we will have a structured form of understanding.
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