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benchmark update
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davidbuniat committed Jan 9, 2023
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*Read this in other languages: [简体中文](README.zh-cn.md)*

## About Deep Lake

<b> 🚀 Deep Lake's efficient enterprise dataloaders speeds up data streaming by >2x compared to Hub 2.x (Ofeidis et al. 2022) 🚀</b>

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<a href="https://arxiv.org/pdf/2209.10785.pdf"><img src="docs/source/_static/img/benchmarks.png" type="image"></a>
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## About Deep Lake

Deep Lake (formerly known as Activeloop Hub) is a data lake for deep learning applications. Our open-source dataset format is optimized for rapid streaming and querying of data while training models at scale, and it includes a simple API for creating, storing, and collaborating on AI datasets of any size. It can be deployed locally or in the cloud, and it enables you to store all of your data in one place, ranging from simple annotations to large videos. Deep Lake is used by Google, Waymo, Red Cross, Omdena, Yale, & Oxford. Deep Lake includes the following features:


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