Many developers are familiar with Catchoom’s native mobile CraftAR SDKs. These SDKs allow you to integrate our Image Recognition and Augmented Reality services into your iOS and Android applications.
But what happens to those who are interested in developing web apps? Good news: we offer a Cloud Image Recognition Javascript library as well. You can use this library to integrate our Image Recognition technology into your web and hybrid apps that run on the latest desktop Internet browsers as well as on Android and iOS devices.
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.
One of the reasons why we love Image Recognition and AR is that they can be used for so many different experiences on so many target objects, from photos to posters to product labels. (These customer projects perfectly prove that.)
However, a well-working Image Recognition or AR experience starts with selecting the right targets – in Catchoom’s terminology, the right reference images – for your experiences.
This is why we’ve collected some tips to help you prepare the right collection of images for our CraftAR Image Recognition solutions. We’ll also present you your new best friend, our extended Image Quality Rating.
