In this first video of this series in object detection we try to understand what object detection is and how it works. We also look at an overview of model architectures in object detection such as a sliding windows approach, regional based family of models (r-CNN) and lastly a quick overview of Yolo which we will go into more in depth (and code from scratch) in a future video!

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