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RFQ Description

s face recognition is service which allows computers to analyze facial information found in photos, and attempt to identify faces against a known set of users. We target the hardest problem in this field: identifying faces in the crowd, appearing in everyday photos, and match them against a large set of known faces. The technology were offering through our APIs scales to many users, and was built with consumer applications in mind: fun, productivity, and privacy.The process of face recognition requires an index of known faces before recognition can be performed. This process is also called training, and it works by adding face tags of known users to the index (or training-set), and then processing these photos to create a new index entry. More saved tags per user means higher accuracy. Once youve got your users all set up in the index, you can search for them in photos.The index supports users of known social networks as well as private namespaces. We currently support facebook and twitter user indexing, which are shared across all API users, and include data access and privacy enforcements using valid user credentials. With Facebook and Twitter user IDs, only access to friends of the currently logged-in user is permitted. Private namespaces are suitable for building an application-specific index of faces who do not necessarily have exiting profiles in facebook or twitter, and are not be shared with other users of the APIs. Training and enforcement of privacy policies in Private namespaces is entirely up to the developer, and must correspond to our Terms. shoes sports shoes, sound blaster, mobile phones, cams, headphones