How to use deep Learning in object detection

Hi, I have a project that uses deep learning to detect objects and I would like to know how to use the resnet model from the deep learning course to detect objects. I have researched that there are other models like ssd, yolo and faster R-CNN can be used but I have hard time relating with the model I have learned in the course. How can I create a model to detect object?

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Hi @lupine37. As per my knowledge every model has its own architecture. So resnet and Yolo have different architecture’s which allows their use for different applications. 1 difference as I know unlike Resnet Yolo (You only look once) as the name suggest it just creates boundaries on an image.

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Thanks alot for the response. Can you recommend a link I can learn yolo in depth.