Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications.
Among the key problems neural networks can solve is detecting and localizing objects in images. Object detection is used in many different domains, including autonomous driving, video surveillance, and healthcare.
In my latest column, I briefly review the deep learning architectures that help computers detect objects. I explore convolutional neural networks along with a few tried and tested deep learning models that have proven to be useful for object detection.
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