Microsoft.ML.ImageAnalytics
4.0.0
Prefix Reserved
dotnet add package Microsoft.ML.ImageAnalytics --version 4.0.0
NuGet\Install-Package Microsoft.ML.ImageAnalytics -Version 4.0.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Microsoft.ML.ImageAnalytics" Version="4.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ML.ImageAnalytics --version 4.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.ML.ImageAnalytics, 4.0.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install Microsoft.ML.ImageAnalytics as a Cake Addin #addin nuget:?package=Microsoft.ML.ImageAnalytics&version=4.0.0 // Install Microsoft.ML.ImageAnalytics as a Cake Tool #tool nuget:?package=Microsoft.ML.ImageAnalytics&version=4.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
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.
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. |
| .NET Core | netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
| .NET Standard | netstandard2.0 is compatible. netstandard2.1 was computed. |
| .NET Framework | net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
| MonoAndroid | monoandroid was computed. |
| MonoMac | monomac was computed. |
| MonoTouch | monotouch was computed. |
| Tizen | tizen40 was computed. tizen60 was computed. |
| Xamarin.iOS | xamarinios was computed. |
| Xamarin.Mac | xamarinmac was computed. |
| Xamarin.TVOS | xamarintvos was computed. |
| Xamarin.WatchOS | xamarinwatchos was computed. |
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
-
.NETStandard 2.0
- Microsoft.ML (>= 4.0.0)
- SkiaSharp (>= 2.88.8)
- SkiaSharp.NativeAssets.Linux.NoDependencies (>= 2.88.8)
- System.Buffers (>= 4.6.0)
- System.Runtime.CompilerServices.Unsafe (>= 6.1.0)
NuGet packages (20)
Showing the top 5 NuGet packages that depend on Microsoft.ML.ImageAnalytics:
| Package | Downloads |
|---|---|
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Microsoft.ML.AutoML
ML.NET AutoML: Optimizes an ML pipeline for your dataset, by automatically locating the best feature engineering, model, and hyperparameters |
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FenixAlliance.ACL.Dependencies
Application Component for the Alliance Business Suite. |
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Microsoft.ML.TorchSharp
Microsoft.ML.TorchSharp contains ML.NET integration of TorchSharp. |
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Microsoft.ML.StaticPipe
ML.NET component for a statically typed API. |
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VoiceNET.Lib.WebAPI
VoiceNET.Lib.WebAPI is an extension of VoiceNET.Library that supports Web API. |
GitHub repositories (10)
Showing the top 5 popular GitHub repositories that depend on Microsoft.ML.ImageAnalytics:
| Repository | Stars |
|---|---|
|
dotnet/samples
Sample code referenced by the .NET documentation
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Webreaper/Damselfly
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection.
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redis/redis-om-dotnet
Object mapping, and more, for Redis and .NET
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NsfwSpy/NsfwSpy.NET
A .NET image and video classifier used to identify explicit/pornographic content written in C#.
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microsoft/CryptoNets
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic E
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| Version | Downloads | Last updated |
|---|---|---|
| 4.0.0 | 1,850 | 11/13/2024 |
| 4.0.0-preview.24522.7 | 420 | 10/23/2024 |
| 4.0.0-preview.24378.1 | 1,664 | 7/29/2024 |
| 4.0.0-preview.24271.1 | 1,104 | 5/21/2024 |
| 4.0.0-preview.24162.2 | 1,461 | 3/13/2024 |
| 3.0.1 | 87,946 | 1/18/2024 |
| 3.0.0 | 23,666 | 11/27/2023 |
| 3.0.0-preview.23511.1 | 1,089 | 10/13/2023 |
| 3.0.0-preview.23266.6 | 13,467 | 5/17/2023 |
| 3.0.0-preview.22621.2 | 2,374 | 12/22/2022 |
| 2.0.1 | 101,805 | 2/1/2023 |
| 2.0.1-preview.22573.9 | 1,494 | 11/24/2022 |
| 2.0.0 | 47,280 | 11/8/2022 |
| 2.0.0-preview.22551.1 | 975 | 11/1/2022 |
| 2.0.0-preview.22313.1 | 7,120 | 6/14/2022 |
| 1.7.1 | 692,153 | 3/9/2022 |
| 1.7.0 | 94,902 | 11/9/2021 |
| 1.7.0-preview.final | 494 | 10/22/2021 |
| 1.6.0 | 48,766 | 7/15/2021 |
| 1.5.5 | 79,626 | 3/4/2021 |
| 1.5.4 | 24,326 | 12/17/2020 |
| 1.5.2 | 81,229 | 9/11/2020 |
| 1.5.1 | 30,016 | 7/11/2020 |
| 1.5.0 | 39,424 | 5/26/2020 |
| 1.5.0-preview2 | 20,894 | 3/12/2020 |
| 1.5.0-preview | 21,234 | 12/26/2019 |
| 1.4.0 | 147,408 | 11/5/2019 |
| 1.4.0-preview2 | 4,481 | 10/8/2019 |
| 1.4.0-preview | 3,896 | 8/30/2019 |
| 1.3.1 | 12,660 | 8/6/2019 |
| 1.2.0 | 36,165 | 7/3/2019 |
| 1.1.0 | 15,021 | 6/4/2019 |
| 1.0.0 | 7,447 | 5/2/2019 |
| 1.0.0-preview | 2,252 | 4/2/2019 |
| 0.11.0 | 1,681 | 3/6/2019 |
| 0.10.0 | 5,432 | 2/5/2019 |
| 0.9.0 | 2,423 | 1/8/2019 |
| 0.8.0 | 1,391 | 12/4/2018 |
| 0.7.0 | 3,767 | 11/6/2018 |
| 0.6.0 | 4,458 | 10/2/2018 |
| 0.5.0 | 1,354 | 9/5/2018 |
| 0.4.0 | 6,584 | 8/7/2018 |