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CVAT contains powerful features which are often reserved for closed-source, proprietary, systems. Designed for ease-of–use, it is recognized in the AI industry as one of the fastest and most usable tools for data annotation. It’s trusted by hundreds of thousands of developers and thousands of companies worldwide.
CVAT, the Computer Vision Annotation Tool, and OpenCV.AI, the consulting arm of the world’s biggest computer vision library, are pleased to announce the launch of their best-in-class open data annotation platform at CVAT.ai and the relocation of active CVAT development to a new repository managed by the core CVAT team.
Annotation tools such as CVAT are essential to modern artificial intelligence (AI) workflows, and are used to create, train, and refine image data for machine learning use cases such as object detection, recognition, tracking, and semantic segmentation. These methods have become an integral part of security systems, Hollywood visual effects processes, medical imaging, agriculture and a host of other industries and professions.
In a short time CVAT has become an industry leader in the quickly-growing artificial intelligence tools space, attracting nearly 1 million downloads since February 2021 according to Docker.com, and over 7,600 stars on the original Github repository at the time of writing.
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CVAT, an open source tool, contains powerful features which are often reserved for closed-source, proprietary, systems. Designed for ease-of–use and speed, CVAT is recognized in the AI industry as not just one of the fastest but also one of the most usable tools for data annotation. The user interface, keybindings, and visual organization are routinely called out among the best in the industry.
Similar to OpenCV’s original version over 20 years ago, the CVAT project began at Intel. The projects share that common lineage, but also a sharp focus on serving the needs of their global communities through the power of Open Source.
Gary Bradski, President of OpenCV, said:
“Like OpenCV, CVAT has grown organically through the community. In computer vision and AI data is everything. Without the right data, none of the current or future of AI is possible. CVAT is the best data annotation tool around, and we’re proud to have them with us at OpenCV.AI.”
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Nikita Manovich, Chief Architect of CVAT, said:
“Intel is a known incubator of great talents and awesome projects, but now it is time to turn the page and start a new adventure for our team. My vision is that CVAT will be the dominant open data platform to serve the AI community. Even though we are moving on our mission remains to help developers, companies and organizations around the world to solve real problems using the Data-centric AI approach.”
The OpenCV.AI ecosystem now includes data annotation with CVAT, and the machine learning model marketplace with Modelplace.AI, in addition to consulting from a world-class team of over 45 experienced professionals from around the globe.
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