ML.NET component for Image support
Install
| Product | Versions |
|---|---|
| .NET Standard |
README
About
ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.
For more information, see the ML.NET documentation.
This package adds the ability to use image processing transformer components.
Key Features
- Image classification - Categorize pathologies in medical images
How to Use
See Machine Learning Samples for an assortment of samples that show how to get started using ML.NET.
Main Types
Some of the types provided by this library are:
Microsoft.ML.Data.MLImageMicrosoft.ML.Transforms.Image.ImageTypeAttribute
Additional Documentation
Related Packages
- Main Package: Microsoft.ML
- Core data abstraction: Microsoft.ML.DataView
- LightGBM Model Support: Microsoft.ML.LightGbm
- Fast Tree: Microsoft.ML.FastTree
- Recommender: Microsoft.ML.Recommender
- Time series: Microsoft.ML.TimeSeries
- Automatic model selection / tuning: Microsoft.ML.AutoML
- Exporting Onnx Models: Microsoft.ML.OnnxConverter
- Loading Onnx models: Microsoft.ML.OnnxTransformer
- Text tokenizers: Microsoft.ML.Tokenizers
Feedback & Contributing
Microsoft.ML is released as open source under the MIT license. Bug reports and contributions are welcome at the GitHub repository.
Changes from Previous Version
Adoption Assessment
A verified publisher signal is available. Assess fit from the package's supported frameworks, license and dependency graph rather than popularity alone.
Related Guides & Workflows
Learn how to evaluate, integrate, or audit this package in your .NET project.