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I'm David Shaw.
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And this is AI News.
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Today, we look at deep neural networks and the need for data
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scientists to annotate data.
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There's a lot of data out there, but many roadblocks
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to fully utilize it.
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For example, there are so many new tasks
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that AI can be applied to, but not
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enough properly annotated data.
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In addition, some data requires a license agreement
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and can't be used in commercial product development.
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Annotating data is a long and time consuming process.
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And there are many ways to do it.
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To help with this process, Intel developed
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a program called Computer Vision Annotation Tool, or CVAT.
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CVAT is open source and provides useful annotation instruments.
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It's a browser-based application for both individuals and teams
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that supports different work scenarios.
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The main tasks of supervised machine learning
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can be divided into three groups, object detection, image
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classification, and image segmentation.
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Read this article to learn more about CVAT, including
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the basic architecture and future development of the tool.
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Follow the links to download CVAT from GitHub,
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and start creating today.
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And I'll see you next week.