Microsoft.ML.DnnImageFeaturizer.ResNet101
0.22.0-preview.24378.1
Prefix Reserved
This is a prerelease version of Microsoft.ML.DnnImageFeaturizer.ResNet101.
There is a newer version of this package available.
See the version list below for details.
See the version list below for details.
dotnet add package Microsoft.ML.DnnImageFeaturizer.ResNet101 --version 0.22.0-preview.24378.1
NuGet\Install-Package Microsoft.ML.DnnImageFeaturizer.ResNet101 -Version 0.22.0-preview.24378.1
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.DnnImageFeaturizer.ResNet101" Version="0.22.0-preview.24378.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ML.DnnImageFeaturizer.ResNet101 --version 0.22.0-preview.24378.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.ML.DnnImageFeaturizer.ResNet101, 0.22.0-preview.24378.1"
#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.DnnImageFeaturizer.ResNet101 as a Cake Addin #addin nuget:?package=Microsoft.ML.DnnImageFeaturizer.ResNet101&version=0.22.0-preview.24378.1&prerelease // Install Microsoft.ML.DnnImageFeaturizer.ResNet101 as a Cake Tool #tool nuget:?package=Microsoft.ML.DnnImageFeaturizer.ResNet101&version=0.22.0-preview.24378.1&prerelease
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
ML.NET component for pretrained ResNet101 image featurization
| 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.OnnxTransformer (>= 4.0.0-preview.24378.1)
NuGet packages (1)
Showing the top 1 NuGet packages that depend on Microsoft.ML.DnnImageFeaturizer.ResNet101:
| Package | Downloads |
|---|---|
|
Microsoft.ML.AutoML
ML.NET AutoML: Optimizes an ML pipeline for your dataset, by automatically locating the best feature engineering, model, and hyperparameters |
GitHub repositories
This package is not used by any popular GitHub repositories.
| Version | Downloads | Last updated |
|---|---|---|
| 0.22.0 | 12,994 | 11/13/2024 |
| 0.22.0-preview.24522.7 | 1,082 | 10/23/2024 |
| 0.22.0-preview.24378.1 | 3,918 | 7/29/2024 |
| 0.22.0-preview.24271.1 | 2,450 | 5/21/2024 |
| 0.22.0-preview.24162.2 | 3,512 | 3/13/2024 |
| 0.21.1 | 105,761 | 1/18/2024 |
| 0.21.0 | 36,781 | 11/27/2023 |
| 0.21.0-preview.23511.1 | 2,412 | 10/13/2023 |
| 0.21.0-preview.23266.6 | 13,694 | 5/17/2023 |
| 0.21.0-preview.22621.2 | 5,328 | 12/22/2022 |
| 0.20.1 | 121,235 | 2/1/2023 |
| 0.20.1-preview.22573.9 | 3,345 | 11/24/2022 |
| 0.20.0 | 66,878 | 11/8/2022 |
| 0.20.0-preview.22551.1 | 594 | 11/1/2022 |
| 0.20.0-preview.22313.1 | 1,477 | 6/14/2022 |
| 0.19.1 | 4,928 | 3/9/2022 |
| 0.19.0 | 1,635 | 11/9/2021 |
| 0.19.0-preview.final | 498 | 10/22/2021 |
| 0.18.0 | 1,855 | 7/15/2021 |
| 0.17.5 | 2,019 | 3/4/2021 |
| 0.17.4 | 1,772 | 12/17/2020 |
| 0.17.2 | 2,092 | 9/11/2020 |
| 0.17.1 | 2,071 | 7/11/2020 |
| 0.17.0 | 1,700 | 5/26/2020 |
| 0.17.0-preview2 | 1,423 | 3/12/2020 |
| 0.17.0-preview | 1,231 | 12/26/2019 |
| 0.16.0 | 1,988 | 11/5/2019 |
| 0.16.0-preview2 | 1,330 | 10/8/2019 |
| 0.16.0-preview | 1,428 | 8/30/2019 |
| 0.15.1 | 1,958 | 8/6/2019 |
| 0.14.0 | 2,105 | 7/3/2019 |
| 0.13.0 | 1,962 | 6/4/2019 |
| 0.12.0 | 2,008 | 5/2/2019 |
| 0.12.0-preview | 1,709 | 4/3/2019 |
| 0.11.0 | 2,375 | 3/6/2019 |
| 0.10.0 | 2,180 | 2/5/2019 |
| 0.9.0 | 2,344 | 1/8/2019 |
| 0.8.0 | 3,016 | 12/4/2018 |