In recent years, more and more companies have been leveraging logo detection in various ways for brand-related gains. So, what’s the technology behind this ‘visual listening’ tool that’s helping visionary companies turn auto-detection into auto-dollars? And how has it evolved over the years? First things first, logo detection, otherwise known as logo recognition, refers to the identification of a company’s unique logo, or visual trademark of the brand. It’s also important to note that logo detection is closely linked to object detection, a form of Artificial Intelligence. These technologies allow for semantic object detection by identifying what data scientists call ‘instances’, in images and videos, for example.

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This presentation will explain the basic limitations of deep learning-based methods and corrective measures that might help improve the outcome of any ML-based solution. The benefits of manual review and offline/batch training will be discussed. Attendees will gain a better understanding of the inherent limitations of the ML methods to use the technology more effectively.

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