Open Source Windows Image Recognition Software

Image Recognition Software for Windows

View 16 business solutions

Browse free open source Image Recognition software and projects for Windows below. Use the toggles on the left to filter open source Image Recognition software by OS, license, language, programming language, and project status.

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  • 1
    Exadel CompreFace

    Exadel CompreFace

    Leading free and open-source face recognition system

    Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace. The system provides REST API for face recognition, face verification, face detection, face mask detection, landmark detection, age, and gender recognition. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services. CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace. Official website: https://exadel.com/solutions/compreface/ Github link: https://github.com/exadel-inc/CompreFace
    Downloads: 9 This Week
    Last Update:
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  • 2
    DeepImageTranslator

    DeepImageTranslator

    DeepImageTranslator: a deep-learning utility for image translation

    Created by: Run Zhou Ye, En Zhou Ye, and En Hui Ye DeepImageTranslator: a free, user-friendly tool for image translation using deep-learning and its applications in CT image analysis Citation: Please cite this software as: Ye RZ, Noll C, Richard G, Lepage M, Turcotte ÉE, Carpentier AC. DeepImageTranslator: a free, user-friendly graphical interface for image translation using deep-learning and its applications in 3D CT image analysis. SLAS technology. 2022 Feb 1;27(1):76-84. https://doi.org/10.1016/j.slast.2021.10.014
    Downloads: 4 This Week
    Last Update:
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