Ecosystem overview: CVAT is coming
CVAT (Computer Vision Annotation Tool) is one of the most popular open-source annotation tools, branded as an Open Data Annotation Platform. CVAT is used by hundreds of companies and tens of thousands of users, with its Docker images downloaded more than one million times.
The core team of CVAT previously worked at Intel, and recently joined OpenCV.ai to continue and expand development. As of this week, the CVAT team is relaunching its website and hosted version of the open-source tool, with plans for exclusive features in the future. They have also published a new GitHub repository. Demonstrating its popularity with developers, the original repository for CVAT on GitHub has 7.6K stars!
We have previously written about CVAT integration work becoming available on HUMAN Protocol. We are delighted to see that the CVAT team has made great progress in developing their app; we look forward to supporting the CVAT team's development efforts as they explore deeper integration with HUMAN.
A complement to the other interfaces currently running on HUMAN Protocol, CVAT is a sophisticated data labeling application that can produce granular and precise datasets for computer vision problems. Its integration will expand the capabilities of work available through the Protocol. A new data-labeling application can create extra benefits by virtue of network effects; applications running on the Protocol have a seamless avenue to share, connect, and check each other’s work.
CVAT is a granular, sophisticated labeling application. It offers users a variety of more advanced labeling tools to annotate components of an image: users could use bounding boxes, polygons, freehand drawing, and more to annotate images and video.
Significantly, CVAT includes automated and semi-automated annotation tools to increase the efficiency of work done with the tool.
We have discussed elsewhere one of the greatest prohibitors to the creation of truly useful AI products: the lack of specific and granular data available. CVAT’s system for annotating data provides the foundations for a solution. More detailed labeling tools can create more specific data sets, which can be used to create more specific functions for AI. Generalized AI is, after all, merely the accumulation of many specific functions (and adaptability to the environments in which they occur).
We highly anticipate such a powerful tool being integrated with HUMAN Protocol.
HUMAN Protocol is a system designed to facilitate the automation, tokenization, evaluation and payment of work. In this sense, it is a system to unlock the future of knowledge workers. It is broadly applicable to many kinds of work, and has its roots in data labeling for AI/ML.
The recently announced Routing Protocol will operate as a coordination layer. It will establish a blueprint for voting, staking, slashing – and how, broadly, third party entities can be coordinated to help contribute to the process of work, such as tidying images before they are sent to a worker using a tool like CVAT.
For the latest updates on HUMAN Protocol, follow us on Twitter or join our Discord. Alternatively, to enquire about integrations, usage, or to learn more about HUMAN Protocol, get in contact with the HUMAN team.
The HUMAN Protocol Foundation makes no representation, warranty, or undertaking, express or implied, as to the accuracy, reliability, completeness, or reasonableness of the information contained here. Any assumptions, opinions, and estimations expressed constitute the HUMAN Protocol Foundation’s judgment as of the time of publishing and are subject to change without notice. Any projection contained within the information presented here is based on a number of assumptions, and there can be no guarantee that any projected outcomes will be achieved.