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Algorithms are the building blocks of your Computer Vision workflows. You can create and share your own algorithms or use the ones provided by the community on Ikomia HUB.

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Use Python for full control and complex chaining.

Develop with Ikomia API and CLI

Choose how you want to create your workflow, depending on your experience level.

Start fast with pre-built workflows for common algorithms.

Deploy from Ikomia HUB

Create custom workflows visually in our desktop app.

Build with Ikomia STUDIO (no-code)

Create a new workflow

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Machine specifications

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Conditions

Custom license

Limitations

Permissions

Unlock all deployment options—including Instance CPU and GPU, and get monthly recurring free credits.
No credit card required.

By migrating to the enhanced free plan, you'll gain access to all deployment options—including CPU and GPU instances, and receive monthly recurring free credits.
However, you will lose the previous plan's 2000 free serverless deployment hits. This action cannot be undone.

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Migrate to the new enhanced free plan

Package

Projects lets you organize multiple Computer Vision workflows.

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Publish algorithm

Step-by-step instructions to deploy this algorithm manually.

Open deployment documentation for CLI/STUDIO

But no worries, you can still deploy it manually using Ikomia CLI or Ikomia STUDIO.

This algorithm is not available for one-click deployment yet.

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Deployment {{name}} · Ikomia SCALE

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Danger zone

Deployment settings · Ikomia SCALE

You can resize of your deployment to increase or decrease the resources allocated to it.
This will affect your deployment's performance.

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Test "{{name}}" · Ikomia SCALE

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Your deployments

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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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Organization workspace

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You'll also appear in the organization's members list, which is visible to other members of the organization.

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Your personal workspace

The basic information about your project.

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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

Enter your token received by email to validate your account.

Account Validation · Ikomia SCALE

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

Your plan doesn't allow you to deploy workflows. Please upgrade to access this feature.

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Only project's managers and owners can add deployments.

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Add a deployment to run your workflow on Ikomia SCALE infrastructure.

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Deployments

The basic information about your workflow.

Delete workflow

Take irreversible actions on your workflow.

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

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Compatibility

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