An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINOβ’
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
Build computer vision models in a fraction of the time and with less data.
Software Development Kit (SDK) for the Getiβ’ platform for Computer Vision AI model training.
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Building interactive AI vision tools for the browser
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