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  2. Facial recognition system - Wikipedia

    en.wikipedia.org/wiki/Facial_recognition_system

    A facial recognition system [1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces. Such a system is typically employed to authenticate users through ID verification services , and works by pinpointing and measuring facial features from a given image.

  3. FaceNet - Wikipedia

    en.wikipedia.org/wiki/FaceNet

    On the widely used Labeled Faces in the Wild (LFW) dataset, the FaceNet system achieved an accuracy of 99.63% which is the highest score on LFW in the unrestricted with labeled outside data protocol. [2] On YouTube Faces DB the system achieved an accuracy of 95.12%. [1]

  4. Hugging Face - Wikipedia

    en.wikipedia.org/wiki/Hugging_Face

    The Hugging Face Hub is a platform (centralized web service) for hosting: [20]. Git-based code repositories, including discussions and pull requests for projects.; models, also with Git-based version control;

  5. Object detection - Wikipedia

    en.wikipedia.org/wiki/Object_detection

    Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]

  6. Scale-invariant feature transform - Wikipedia

    en.wikipedia.org/wiki/Scale-invariant_feature...

    From the full set of matches, subsets of keypoints that agree on the object and its location, scale, and orientation in the new image are identified to filter out good matches. The determination of consistent clusters is performed rapidly by using an efficient hash table implementation of the generalised Hough transform.

  7. Jakarta Faces - Wikipedia

    en.wikipedia.org/wiki/Jakarta_Faces

    Jakarta Faces, formerly Jakarta Server Faces and JavaServer Faces (JSF) is a Java specification for building component-based user interfaces for web applications. [2] It was formalized as a standard through the Java Community Process as part of the Java Platform, Enterprise Edition .

  8. Coke Zero Facial Profiler - Wikipedia

    en.wikipedia.org/wiki/Coke_Zero_Facial_Profiler

    [1] [2] The app used face recognition technology to search a database of voluntarily participating Facebook users to match people based on appearance. [2] [3] [4] The software's algorithm analyzed face attributes like skin color, face structure and angles of the face. [1] Once matched, users could contact their look-alike via their Facebook ...

  9. List of free and open-source Android applications - Wikipedia

    en.wikipedia.org/wiki/List_of_free_and_open...

    Android phones, like this Nexus S running Replicant, allow installation of apps from the Play Store, F-Droid store or directly via APK files.. This is a list of notable applications (apps) that run on the Android platform which meet guidelines for free software and open-source software.