How to Build Custom Image Classifiers in Java With Minimal ML Experience

Using Machine Learning to train your own custom Deep Learning models can be challenging without understanding the algorithms, having a good dataset, having a high-performance test environment, or knowing the correct optimization settings. Although there a lot of image recognization API solutions available for developers to leverage, many times businesses or developers have unique cases or outliers out there that these solutions are unable to accurately identify the image. As a solution to this problem, Microsoft released the Azure Custom Vision service last year at Build 2017. The Azure Custom Vision service enables developers with minimum to expertise Machine Learning knowledge to build robust custom image classifiers. It makes it easy and fast to build, deploy, and improve an image classifier. As an output, the Custom Vision service provides a REST API and a web interface to upload your images and train the classifier.

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java,machine learning,rest api,deep learning,artifical intelligence,azure cognitive services,image classifiers