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Next-generation Computer Vision algorithms, for your eyes only.

Ready to use and editable Computer Vision algorithms from your favorite frameworks.

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Ikomia API is an open-source API to train, test, and build reusable Computer Vision workflows. You can select and chain the best state-of-the-art algorithms from your preferred frameworks such as OpenCV, Detectron2, OpenMMLab or YOLO.

Reusable Computer Vision workflows in a few lines of code.

Ikomia API

Ikomia CLI is a command line interface to manage and deploy your Computer Vision project. It allows you to create, build and run workflows right from the command line.

Manage and deploy your Computer Vision project from the command line.

Ikomia CLI

Tools · Ikomia Docs

Ikomia STUDIO is a simple drag-and-drop User Interface to prototype Computer Vision solutions. With its double window, you can watch the effects of your treatments in seconds.

Using the command line

Or download Linux Installer

Desktop prototyping app for Computer Vision.

Ikomia STUDIO

Download Windows Installer

Install Ikomia tools and start building Computer Vision solutions in a more scalable manner.

Ikomia tools

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You now have access to all the features of our application.

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Don't forget to check out our quick start guide to quickly get acquainted with our application and start enjoying its benefits.

If you have any questions, concerns, or need assistance, please do not hesitate to contact us at support@ikomia.ai. Our team is here to assist you every step of the way.

Thank you for being a part of Ikomia SCALE! We are excited to accompany you on your journey and help you achieve your goals.
Best regards,

The Ikomia SCALE Team

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Deployments

The basic information about your workflow.

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Workflow settings

skimage_rolling_ball

The rolling-ball algorithm estimates the background intensity of a grayscale image in case of uneven exposure

skimage_threshold

Compilation of well-known thresholding methods from scikit-image library.

skimage_morpho_snakes

Morphological active contour segmentation from scikit-image library.

Ikomia HUB

Task

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Compatibility

3 items found