How to Optimize Object Detection Models for Specific Domains

Design better and faster models to solve your specific problem

Object detection is widely employed across different domains, from academia to industry sectors, thanks to its ability to provide great results at a low computational cost. However, despite the abundance of open-source architectures publicly available, most of these models are designed to address general-purpose problems and may not be a good fit for specific contexts.

As an example, we can mention the Common Objects …

academia architectures computational computer vision cost deep learning design detection domains faster image recognition industry low object-detection solve thoughts-and-theory