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Commercial-grade emotion analysis, face detection and recognition engine provided as a public API. Kairos takes the complexity out of facial recognition and emotion analysis so you can focus on building a great product. | ReKognition API offers services for detecting, recognizing, tagging and searching faces and concepts as well as categorizing scenes in any photo, through a RESTFUL API. We process and analyze photos from anywhere, so you can mix and match photo sources with user IDs, which can enable you to, say, recognize objects in Facebook and Flickr photos. |
Detect faces and face features within images;Match faces against galleries of previously enrolled faces;Analyze emotion of faces in still images and video | Detect and recognize faces;
Detect face with age, race, glasses, gender, mouth, eye information.
Recognize objects, scenes, landmarks and more
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OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google.

It is a next-generation face swapper and enhancer that uses artificial intelligence to create realistic and high-quality results.

It is a deep-learning toolchain for generating your Digital-Twin. With a minimum of 1 portrait-photo, you can create a Digital-Twin of your own and start generating personal portraits in different settings.