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Roboflow and OpenCV Partner to Advance Computer Vision Capabilities for All Developers

Joseph NelsonPublished Aug 27, 2024
2 min read
SUMMARY

Roboflow and OpenCV have formed a partnership to expand computer vision education and tooling for developers, with Roboflow serving as an official Silver Sponsor of the OpenCV library. Joint work includes integrating OpenCV functions such as perspective transformation and dominant color detection into Roboflow Workflows, building a CVAT integration so Roboflow models can assist image labeling, and co-developing courses and webinars covering model deployment and project best practices, including a course built around the OpenCV AI Kit (OAK) camera hardware.

OpenCV has been a key part of advancing computer vision capabilities for developers for over 20 years. The Open Source Computer Vision Library on Github has over 50,000 stars, 42,000 forks and nearly 30,000 commits.

At Roboflow, we deeply respect the work of the OpenCV community, and we've identified a number of mutual goals to advancing developers' abilities to apply computer vision through educational content and software. We're proud to introduce a partnership between our organizations to make it even easier for developers to use computer vision.

As a part of our joint partnership, Roboflow and OpenCV create educational blogs, webinars, and courses together. Roboflow is also an official Silver Sponsor of OpenCV, ensuring the library will continue to adapt and grow.

Notably, OpenCV has recently launched hardware devices in partnership with Luxonis: the OpenCV AI Kit (OAK). OAK has attracted over $2 million in investment on Kickstarter, inspiring developers far and wide to start new vision projects.

In the past years of our partnership, we have:

We are excited to continue building integrations with OpenCV, enabling developers to integrate OpenCV tools into complex, deep learning-powered workflows faster than ever.

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