Building an Image Classification Pipeline With Apache Camel and Deep Java Library (DJL) (opens in new tab)

Image classification is now a key part of many applications. Whether you’re automating photo organization, filtering uploaded content, or enriching product catalogs with visual tags, knowing what’s in an image can be just as important as knowing what a user typed. For Java developers, the challenge is familiar: most computer vision examples live in Python notebooks, while the systems that actually need image classification run on the JVM. Bridging that gap usually means standing up a separate...