The open-source toolset to accelerate your project by 5x and put it to production smoothly
It takes a lot of trials, trainings and combinations to develop a Computer Vision solution, with diverse input and output structures, dependencies, sources and libraries incompatibilities.
We have simplified the entire process.
We've carefully curated the best open-source SOTA algorithms, and packaged them so that they respond to the same Python commands.
A growing library focused on vision to provide 300 algorithms in image classification, object detection and segmentation, pose estimation, text detection and recognition…
Develop Computer Vision solutions without worrying about installation, dependencies and compatibilities.
You can train, test and build workflows by reusing the same code patterns.
Feel free to mix all algorithms from the HUB, inputs and outputs become universally compatible.
You would rather use a friendly UI than Python code? We developed the application version of the API for you.
Build inference and training pipelines and watch the results at once in the same window.
We had a dream that Computer Vision solutions could be deployed for users without setting and maintaining a complex infrastructure.
So we built an automated deployment SaaS platform for engineers to transform projects into businesses without the need for DevOPs knowledge.
Test algorithms, chain them in workflows whatever the source or library, create your own algo and train models.