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    General description

    Vision is a technology for recognizing faces, objects, processes based on machine learning and artificial neural networks. Vision will automate and improve the accuracy of complex visual inspection of varying complexity.

    • 98% accuracy of face detection among a million
    • TensorRT on inference, <10ms on photo on GPU
    • 314 scene recognition classes, 25,000 object classes

    Vision technologies are available through APIs that are constantly evolving. A list of them is available in this help center. Using the API, you can solve such cases as:

    • Definition of scenes and objects
    • Tracking people
    • Celebrity recognition
    • Recognizing text in images
    • Vehicle detection
    • Increase resolution
    • Search for attractions
    • Identification of a manufacturing defect
    • Determination of car numbers
    • Image moderation

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