Detecting and Extracting Objects From Your Video Call Using Agora

This blog discusses the implementation of object detection in real-time communications applications using Agora's SDKs. Object detection is a crucial component of deep learning applications and has various use cases, including football (soccer) monitoring and video call interfaces. The author demonstrates how to set up an object detection model over Agora's video call interface by utilizing the YOLO algorithm for real-time multi-object mapping. The process involves creating a new project on Agora's developer dashboard, setting up the video call with relevant app ID and channel name, and processing frames from the video call for object detection using the COCO dataset.

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