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Overview of the types of active learning | Source : Settles, B. Active Learning Literature Survey Pool-Based Active Learning Overview Pool-based active learning is the most commonly used approach in practical applications. Traditional Active Learning has the following characteristics.

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Object detection works by using machine learning or deep learning models that learn from many examples of images with objects and their labels. In the early days of machine learning, this was often done manually, with researchers defining features (e.g., edges, corners, or color histograms).

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How Active Learning Can Improve Your Computer Vision Pipeline

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