Anatomy of Deep Learning Based Object Detectors

After looking at why deep learning-based object detectors came into being as one of the fundamental blocks in modern computer vision pipelines, we will look at how they work along with enabling factors like data and infrastructure, and how they have evolved into the robust ecosystem of model architectures and variants – each well suited for a certain object detection use case. This is part 2 of the series on deep learning-based object detectors. Here is how they work.

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ABOUT THE AUTHOR

Nirupam Kulkarni

Nirupam Kulkarni works as Product Manager focused on eInfochips' IoT and AI product and solution portfolio. He has 11 years of technology experience across IT and analytics consulting, market research, product management and digital partnerships.