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.