Members of our developer community often request us to share useful tips and tricks with them. One of the most exciting questions we regularly encounter are related to image recognition and AR performance.
For example, “How can I improve recognition by eliminating elements that are not there in real life or are changing in nature?” Think plants that may grow or change leaves, people in the background or liquids inside the bottle whose label you want to get recognized.
For the release of our Image Recognition Engine (codename CRE) version 3.3, we focused on improving the technology’s performance on recognizing objects in the presence of complex backgrounds.
