Dedicated to making open data more available and accessible through the creation of data standards and formats, Project OpenBytes aims to facilitate wider sharing of, and collaboration with, data in the AI community.
"For a long time," says Graviti founder Edward Cui, "scores of AI projects were held up by a general lack of high-quality data from real use cases. Acquiring higher quality data is paramount if AI development is to progress. To accomplish that, an open data community built on collaboration and innovation is urgently needed. Graviti believes it's our social responsibility to play our part."
By creating an open data standard and format, Project OpenBytes can reduce data contributors' liability risks. Dataset holders are often reluctant to share their datasets publicly due to their lack of knowledge on various data licenses. If data contributors understand their ownership of data is well protected and their data will not be misused, more open data becomes accessible, say the organizations.
Project OpenBytes will also create a standard format of data published, shared, and exchanged on its open platform. A unified format will help data contributors and consumers easily find the relevant data they need and make collaboration easier. These OpenBytes functions, say the organizations, will make high-quality data more available and accessible, which is significantly valuable to the whole AI community and will save a large amount of monetary and labor resources on repetitive data collecting.
Mike Dolan, general manager and senior vice president of Projects at the Linux Foundation says, "Project OpenBytes and community will benefit all AI developers, both academic and professional and at both large and small enterprises, by enabling access to more high-quality open datasets and making AI deployment faster and easier."
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