Why would a developer use Azure’s Custom Vision in combination with NLP?

Using Azure’s Custom Vision in combination with Natural Language Processing (NLP) allows developers to create applications that can interpret both visual and textual information, leading to richer user interactions. By integrating image recognition capabilities with text analysis, developers can build more sophisticated applications that understand context beyond what a single modality can provide.

For instance, in a scenario where an application processes user-uploaded images and then analyzes associated text, the combination enhances the overall experience by providing contextual information from the visual component while also interpreting any related verbal or written data. This combined approach allows for more nuanced functionality, such as providing information about identified objects within an image and extracting keywords or sentiments from related text, thus delivering a more comprehensive response to user inquiries.

This synergy between image processing and text understanding not only improves the application's capability to "understand" the inputs but also allows for more interactive and intuitive user experiences, making it a sought-after approach for developers working with multimedia data.