OpenCV Library Modules
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Beginning 1 December 2021, you will not be able to create new Machine Learning Studio (classic) resources. Through 31 August 2024, you can continue to use the existing Machine Learning Studio (classic) resources.
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ML Studio (classic) documentation is being retired and may not be updated in the future.
This article describes the modules in Machine Learning Studio (classic) that support use of the Open Source Computer Vision (OpenCV) Library.
Applies to: Machine Learning Studio (classic) only
Similar drag-and-drop modules are available in Azure Machine Learning designer.
OpenCV is an open-source library that supports a variety of image processing and image recognition tasks. For more information, see the OpenCV website.
The modules in Machine Learning Studio (classic) provide a way for you to easily incorporate the OpenCV Library into your machine learning experiments.
For additional image recognition features, see the image APIs published as part of Microsoft Cognitive Services:
Face API. Detects faces and analyzes critical facial attributes, including emotion.
Computer Vision API. Supports domain detection, identification of adult content, image tagging, and image type or color analysis.
Bing Image Search. Gets images for machine learning projects by searching by type, color, region, and other attributes.
List of modules
The OpenCV Library category includes these modules:
Import Images: Loads images from Azure Blob storage into a dataset.
Pretrained Cascade Image Classification: Creates a pretrained image classification model for frontal faces by using the OpenCV Library.