字幕列表 影片播放 列印英文字幕 I'm David Shaw. And this is AI News. Today, we look at deep neural networks and the need for data scientists to annotate data. There's a lot of data out there, but many roadblocks to fully utilize it. For example, there are so many new tasks that AI can be applied to, but not enough properly annotated data. In addition, some data requires a license agreement and can't be used in commercial product development. Annotating data is a long and time consuming process. And there are many ways to do it. To help with this process, Intel developed a program called Computer Vision Annotation Tool, or CVAT. CVAT is open source and provides useful annotation instruments. It's a browser-based application for both individuals and teams that supports different work scenarios. The main tasks of supervised machine learning can be divided into three groups, object detection, image classification, and image segmentation. Read this article to learn more about CVAT, including the basic architecture and future development of the tool. Follow the links to download CVAT from GitHub, and start creating today. And I'll see you next week.
B1 中級 計算機視覺註釋工具。數據註釋的通用方法|AI新聞|英特爾軟件 (Computer Vision Annotation Tool: A Universal Approach to Data Annotation | AI News | Intel Software) 65 0 alex 發佈於 2021 年 01 月 14 日 更多分享 分享 收藏 回報 影片單字