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Custom Vision

Easily customise your own state-of-the-art computer vision models for your unique use case

Create a customised computer vision model in minutes

Customise and embed state-of-the-art computer vision image analysis for specific domains with Custom Vision, part of Azure Cognitive Services. Build frictionless customer experiences, optimise manufacturing processes, accelerate digital marketing campaigns, and more. No machine learning expertise is required.

Customisation to your scenario

Set your model to perceive a particular object for your use case.

Intuitive model creation

Easily build your image identifier model using the simple interface.

Flexible deployment

Run Customised Vision in the cloud or on the edge in containers.

Built-in security

Rely on enterprise-grade security and privacy for your data and any trained models.

Achieve accuracy without the complexity

Start training your computer vision model by simply uploading and labelling a few images. The model tests itself on these and continually improves precision through a feedback loop as you add images. To speed development, use customisable, built-in models for retail, manufacturing, and food. See how Minsur, one of the world's largest tin mines, uses Customised Vision for sustainable mining.

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Accelerate model creation

A user-friendly interface walks you through developing and deploying customised computer vision models. Then either ping the API to quickly tag images with your new computer vision model or export the model to a device to run real-time image recognition.

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Deploy anywhere, from the cloud to the edge

Run your models wherever you need them and according to your unique scenario and requirements. Easily export your trained models to devices or to containers for low-latency scenarios.

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Build on industry-leading Azure security

World-class customised computer vision at competitive prices

Pay only for what you use with no upfront costs. With Customised Vision, you pay as you go based on number of transactions, training hours, and image storage.

Get started with Customised Vision

Get instant access and $200 credit by setting up your Azure free account.

Sign in to the Customised Vision portal.

Learn how to embed Customised Vision and create your first project.

Documentation and resources

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Take Microsoft Learn courses

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Volpara Solutions Limited

"Custom Vision is helping us to efficiently reduce mammography image quality issues by identifying non-applicable image types, such as quality control images. This represents breakthrough innovation for millions of screenings around the globe."

David Murray, PhD, Chief Technology Evangelist, Volpara Solutions Limited

Frequently asked questions

  • Azure Cognitive Services, including Customised Vision, guarantees 99.9 percent availability. See SLA details.
  • Yes. Because Customised Vision is designed to be customised for your scenario, you need to provide the data to train your model.
  • The Customised Vision service is optimised to quickly recognise major differences between images, so you can start prototyping your model with a small amount of data. We recommend starting with 50 images per label. Depending on the complexity of the problem and degree of accuracy required, hundreds or thousands of samples may be required for your final model.
  • You can leverage Project Trove to gather images for your projects. Project Trove is an app that connects you directly with photo takers, allowing you to collect more relevant and accurate photos for your model. Using Trove, you can post your project descriptions, outline the types of photos you are looking for, and only approve the photos that you want. Trove provides licensing and privacy frameworks, so you can collect high quality data responsibly and safely. You can sign up for Trove here.
  • It’s actually both. Use the site to access a graphical interface for labelling data and training models. Or use the Customised Vision SDKs to do these things.
  • Cognitive Services offers several capabilities depending on your use case. The Computer Vision video- and image-recognition model is a good starting point if you don’t want to build your own model. Form Recogniser is optimised for document processing, Video Indexer for extracting advanced metadata from audio and video files, Face for facial recognition and detection, and Content Moderator for detecting unwanted text or images.

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