Clarifai is an image and video recognition tool that automatically assigns tags to objects and categories taking only the pixels as input, using a wide library of semantic and visual terminologies for artificial intelligence. The system is based on neural networks, a scalable machine learning technique that can handle massive scales of visual content flowing through the API. Clarifai also uses semantic and visual similarities to cross compare uploaded pictures with other pictures in their library to showcase similarities. Clarifai currently hosts an online demo to easily try out the system with your own photos. Developers can visit their website to sign up to for a free trial and production accounts to use their API.
Recent technology backed by machine learning is making it possible to recognize people and objects from images, videos, sounds, body parts, speech, phrases, characters, even typing. Developers can find over two-hundred APIs for Recognition on ProgrammableWeb. Here are some top choices.
With the latest version of its image recognition API, Clarifai is now offering developers a way to leverage the underlying engine's machine learning capabilities to build custom models so that what one organization looks for in an image can be very different from what another organization looks for.