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  2. Seeing AI - Wikipedia

    en.wikipedia.org/wiki/Seeing_AI

    When the app describes people, it attempts to estimate the person's age, gender, and emotional status. [8] Additionally, in a test run by German journalists in December 2019, Seeing AI apparently used some sort of Facial recognition system to identify people on photographs by name. [9]

  3. Be My Eyes - Wikipedia

    en.wikipedia.org/wiki/Be_My_Eyes

    Be My Eyes is a Danish mobile app that aims to help blind and visually impaired people to recognize objects and cope with everyday situations. An online community of sighted volunteers receive photos or videos from randomly assigned affected individuals and assist via live chat. The app is currently available for Android and iOS. [1] [2]

  4. 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]

  5. CloudSight - Wikipedia

    en.wikipedia.org/wiki/CloudSight

    The application is a visual search engine application that utilizes image recognition to photograph, identify, and provide information on any object, at any angle. Its image recognition capabilities make use of CloudSight API. [8] CamFind surpassed 1,000,000 downloads within the first seven months after its release into the Apple AppStore. [9]

  6. Google Lens - Wikipedia

    en.wikipedia.org/wiki/Google_Lens

    Google Lens is an image recognition technology developed by Google, designed to bring up relevant information related to objects it identifies using visual analysis based on a neural network. [2] First announced during Google I/O 2017, [ 3 ] it was first provided as a standalone app, later being integrated into Google Camera but was reportedly ...

  7. Comparison of optical character recognition software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_optical...

    This comparison of optical character recognition software includes: OCR engines, that do the actual character identification; Layout analysis software, that divide scanned documents into zones suitable for OCR; Graphical interfaces to one or more OCR engines

  8. Picollator - Wikipedia

    en.wikipedia.org/wiki/Picollator

    Picollator is an Internet search engine that performs searches for web sites and multimedia by visual query (image) or text, or a combination of visual query and text. . Picollator recognizes objects in the image, obtains their relevance to the text and vice versa, and searches in accordance with all information pr

  9. VoTT - Wikipedia

    en.wikipedia.org/wiki/VoTT

    VoTT (Visual Object Tagging Tool) is a free and open source Electron app for image annotation and labeling developed by Microsoft. [1] The software is written in the TypeScript programming language and used for building end-to-end object detection models from image and videos assets for computer vision algorithms.