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Activeloop
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Data lake for machine and deep learning. The fastest dataset management tool for computer vision.
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Description
About - [Activeloop](http://activeloop.ai/) provides an optimized format for unstructured data, so users can stream their [machine learning datasets](https://docs.activeloop.ai/) while training ML models in PyTorch and TensorFlow. [Activeloop](http://app.activeloop.ai/) acts as a [data lake for deep learning](http://activeloop.ai/) on unstructured data and offers in-browser dataset visualization, querying, and version control. On top of those features, [Activeloop](http://activeloop.ai/) integrates with experimentation and labeling tools to allow rapid iteration on computer vision datasets. Activeloop supports the following use cases: - Machine Learning teams can apply Activeloop's data infrastructure to ship their models fast in the following use cases: 1. [AgriTech](https://www.activeloop.ai/solutions/agriculture/) 2. [Audio processing](https://www.activeloop.ai/solutions/audio/) 3. [Autonomous Vehicles & Robotics](https://www.activeloop.ai/solutions/autonomous-vehicles-robotics/) 4. [Biomedical and Healthcare ML](https://www.activeloop.ai/solutions/biomedical-healthcare/) 5. Multimedia: [Image enhancement, video enhancement, face detection, sports analytics, or machine learning for AR/VR](https://www.activeloop.ai/solutions/multimedia/) 6. Safety & Security: [surveillance machine learning with biometrics, facial recognition, or crowd counting](https://www.activeloop.ai/solutions/safety-security/)
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