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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. | 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. |
Detect and recognize faces;
Detect face with age, race, glasses, gender, mouth, eye information.
Recognize objects, scenes, landmarks and more
| Detect faces with pre-trained models; Transform faces for the neural network; Use deep neural networks to reprsent or embed the face on a hypersphere; Apply favorite clustering or classification techniques to the features to complete recognition task |
Statistics | |
GitHub Stars - | GitHub Stars 15.4K |
GitHub Forks - | GitHub Forks 3.6K |
Stacks 5 | Stacks 31 |
Followers 25 | Followers 104 |
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