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In Computer vision projects we mainly work with images and videos. First we need to think about problem statement and how we are going to solve that with the help of images.
Learn about the common mistakes and challenges in computer vision projects and how to overcome them with data quality, model selection, evaluation metrics, deployment issues, and ethical concerns.
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