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Several computer vision models exist, including feature-based models, deep learning networks, and convolutional neural networks. These models can learn and recognize patterns and features in the visual environment. They can be trained on abundant quantities of labeled and image data. This article presents a detailed summary of computer vision models so that you acquire an in-depth comprehension of them.
