Azure Machine Learning general availability announcements //Build, May 2021
Published date: 25 May, 2021
We are making the following features generally available in Azure Machine Learning:
- Data labelling – image instance segmentation in Azure Machine Learning gives you a central place to create, manage and monitor labelling projects. Use it to coordinate data, labels and team members to efficiently manage labelling tasks. It supports image classification, either multi-label or multi-class, object identification with bounded boxes and image instance segmentation (polygon).
- MLflow support: Azure Machine Learning supports managing the end-to-end machine learning cycle using open MLflow standards, enabling existing workloads to move from local execution to execution in the intelligent cloud and edge.
Use MLflow tracking and logging APIs
Track experiments and metrics with both services
Track models in the MLflow and Azure Machine Learning model registry
Deploy MLflow tracked models using the azureml-mlflow package to ACI and AKS
Learn more on how to label images.