Ready-to-use SOTA algorithms for vision
A large collection of open-source state-of-the-art Computer Vision algorithms, with tested and reusable code.
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280 algorithms in all areas of computer vision
Edge detection, image histogram, image thresholding, image denoising, image classification, object detection, semantic, instance and panoptic segmentation, pose estimation, text detection, text recognition, etc.
7 supported frameworks
OpenCV, Kornia, OpenMMlab, YOLO, Scikit, Detectron2, HuggingFace.
Ready to use and editable
We packaged the best open source algorithms to make them universally compatible and editable with the Ikomia API and the STUDIO.
The HUB is the source. Choose where you want the upper hand:
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From research
to prototype
We select the best state-of-the-art algorithms for all Computer Vision engineers and data scientists.
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Also for inference
and training
Test the latest state-of-the-art deep learning algorithms with ease.
Plug annotated data with the dataset loaders
Whether it’s annotated with Roboflow, CVAT, or another software, load custom data with dataset loaders.
Join the community and start prototyping
FAQ
Don’t see your question? Email team@ikomia.ai.
The HUB is the source of algorithms customized to be used in the API or STUDIO. Therefore there are no prerequisites.
Yes all Ikomia algorithms are open source, with each its licence chosen by the author.
The Ikomia HUB, API, and STUDIO are open source and free, and will always be!
Not at all. Just choose the algorithms that suit your needs in the API or STUDIO and they will download at once.
No it doesn’t, Ikomia is Computer Vision centric.
No need for documentation to use the HUB since it is the algorithm source for API and STUDIO.
Yes, all algorithms are open source so you can easily edit the code.
This is a work in progress, and you should be able to do so in a matter of months.
Use data annotated with Coco, Pascal voc, Via, Yolo, Cwfid, Wgisd and Wildreceipt.
These state-of-the-art algorithms have been standardized and packaged for the Ikomia API and STUDIO. That’s what enables them to be easily tested and trained with reusable code patterns and chained in the same workflow, regardless of their original framework. To use your tools, pick the original algorithms in their repos.
