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‎articles/ai-services/computer-vision/how-to/background-removal.md

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@@ -139,18 +139,17 @@ Create a new [ImageAnalysisOptions](/python/api/azure-ai-vision/azure.ai.vision.
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[!code-python[](~/azure-ai-vision-sdk/docs/learn.microsoft.com/python/image-analysis/segmentation/main.py?name=segmentation_mode)]
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### [C++](#tab/cpp)
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Create a new [ImageAnalysisOptions](/cpp/cognitive-services/vision/imageanalysis-imageanalysisoptions) object and call the [SetSegmentationMode](/cpp/cognitive-services/vision/imageanalysis-imageanalysisoptions#setsegmentationmode) method. You must call this method if you want to do segmentation. See [ImageSegmentationMode](/cpp/cognitive-services/vision/azure-ai-vision-imageanalysis-namespace#enum-imagesegmentationmode) for supported values.
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[!code-cpp[](~/azure-ai-vision-sdk/docs/learn.microsoft.com/cpp/image-analysis/segmentation/segmentation.cpp?name=segmentation_mode)]
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### [Java](#tab/java)
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Create a new [ImageAnalysisOptions](/java/api/com.azure.ai.vision.imageanalysis.imageanalysisoptions) object and call the [setSegmentationMode](/java/api/com.azure.ai.vision.imageanalysis.imageanalysisoptions#com-azure-ai-vision-imageanalysis-imageanalysisoptions-setsegmentationmode()) method. You must call this method if you want to do segmentation. See [ImageSegmentationMode](/java/api/com.azure.ai.vision.imageanalysis.imagesegmentationmode) for supported values.
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[!code-java[](~/azure-ai-vision-sdk/docs/learn.microsoft.com/java/image-analysis/segmentation/ImageAnalysis.java?name=segmentation_mode)]
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### [C++](#tab/cpp)
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Create a new [ImageAnalysisOptions](/cpp/cognitive-services/vision/imageanalysis-imageanalysisoptions) object and call the [SetSegmentationMode](/cpp/cognitive-services/vision/imageanalysis-imageanalysisoptions#setsegmentationmode) method. You must call this method if you want to do segmentation. See [ImageSegmentationMode](/cpp/cognitive-services/vision/azure-ai-vision-imageanalysis-namespace#enum-imagesegmentationmode) for supported values.
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[!code-cpp[](~/azure-ai-vision-sdk/docs/learn.microsoft.com/cpp/image-analysis/segmentation/segmentation.cpp?name=segmentation_mode)]
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### [REST](#tab/rest)
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‎articles/ai-services/computer-vision/includes/image-analysis-error-codes-40.md

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To help resolve issues, look at the [Image Analysis Samples](https://github.com/Azure-Samples/azure-ai-vision-sdk) repository and run the closest sample to your scenario. Search the [GitHub issues](https://github.com/Azure-Samples/azure-ai-vision-sdk/issues) to see if your issue was already address. If not, create a new.
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# [Java](#tab/java)
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The sample code for getting analysis results shows how to handle errors and get the [ImageAnalysisErrorDetails](/java/api/com.azure.ai.vision.imageanalysis.imageanalysiserrordetails) object that contains the error information. The error information includes:
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* Error reason. See enum [ImageAnalysisErrorReason](/java/api/com.azure.ai.vision.imageanalysis.imageanalysiserrorreason).
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* Error code and error message. Select the **REST API** tab to see a list of some common error codes and messages.
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In addition to those errors, the SDK has a few other error messages, including:
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* `Missing Image Analysis options: You must set at least one visual feature (or model name) for the 'analyze' operation. Or set segmentation mode for the 'segment' operation`
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* `Invalid combination of Image Analysis options: You cannot set both visual features (or model name), and segmentation mode`
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Make sure the [ImageAnalysisOptions](/java/api/com.azure.ai.vision.imageanalysis.imageanalysisoptions) object is set correctly to fix these errors.
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To help resolve issues, look at the [Image Analysis Samples](https://github.com/Azure-Samples/azure-ai-vision-sdk) repository and run the closest sample to your scenario. Search the [GitHub issues](https://github.com/Azure-Samples/azure-ai-vision-sdk/issues) to see if your issue was already address. If not, create a new.
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# [C++](#tab/cpp)
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The sample code for getting analysis results shows how to handle errors and get the [ImageAnalysisErrorDetails](/cpp/cognitive-services/vision/imageanalysis-imageanalysiserrordetails) object that contains the error information. The error information includes:

‎articles/ai-services/computer-vision/includes/setup-sdk/java.md

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Follow these steps to install the Vision SDK for Java using Apache Maven:
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1. Install [Apache Maven](https://maven.apache.org/download.cgi). On Linux, install from the distribution repositories if available.
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1. Open a command prompt and run `mvn -v` to confirm successful installation.
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1. Open a command prompt where you want to place the new project, and create a new pom.xml file.
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1. Copy the following XML content into your pom.xml file:
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```xml
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<project xmlns="http://maven.apache.org/POM/4.0.0"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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```xml
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<project xmlns="http://maven.apache.org/POM/4.0.0"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<groupId>azure.ai.vision.imageanalysis.samples</groupId>
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<artifactId>image-analysis-quickstart</artifactId>
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<version>0.0</version>
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<dependencies>
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<!-- https://mvnrepository.com/artifact/com.azure/azure-ai-vision-imageanalysis -->
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<dependency>
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<!-- https://mvnrepository.com/artifact/com.azure/azure-ai-vision-imageanalysis -->
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<dependency>
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<groupId>com.azure</groupId>
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<artifactId>azure-ai-vision-imageanalysis</artifactId>
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<version>0.15.1-beta.1</version>
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</dependency>
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<!-- https://mvnrepository.com/artifact/com.azure/azure-core-http-netty -->
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<dependency>
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</dependency>
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<!-- https://mvnrepository.com/artifact/com.azure/azure-core-http-netty -->
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<dependency>
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<groupId>com.azure</groupId>
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<artifactId>azure-core-http-netty</artifactId>
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<version>1.13.6</version>
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</dependency>
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<!-- https://mvnrepository.com/artifact/org.slf4j/slf4j-api -->
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<dependency>
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</dependency>
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<!-- https://mvnrepository.com/artifact/org.slf4j/slf4j-api -->
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<dependency>
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<groupId>org.slf4j</groupId>
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<artifactId>slf4j-api</artifactId>
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<version>2.0.7</version>
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</dependency>
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<!-- https://mvnrepository.com/artifact/org.slf4j/slf4j-simple -->
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<dependency>
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</dependency>
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<!-- https://mvnrepository.com/artifact/org.slf4j/slf4j-simple -->
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<dependency>
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<groupId>org.slf4j</groupId>
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<artifactId>slf4j-simple</artifactId>
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<version>2.0.7</version>
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</dependency>
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</dependency>
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</dependencies>
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</project>
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```
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</project>
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```
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1. Update the version value in `<version>0.15.1-beta.1</version>` based on the latest version you find in the Maven repository for the [azure-ai-vision-imageanalysis](https://mvnrepository.com/artifact/com.azure/azure-ai-vision-imageanalysis) package.
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1. Run the following Maven command to install the Vision SDK and dependencies.
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```console
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```console
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mvn clean dependency:copy-dependencies
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```
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2. Verify that the local folder path `target\dependency` was created, and it contains `.jar` files including three file named `azure-ai-vision-*.jar`
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```
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1. Verify that the local folder path `target\dependency` was created, and it contains `.jar` files including three file named `azure-ai-vision-*.jar`
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# [Gradle](#tab/gradle)
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1. Install [Gradle](https://gradle.org/install).
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1. In a command prompt run `gradle -v` to confirm successful installation.
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1. Create you Java application using Gradle. See for example [Building Java Applications Sample](https://docs.gradle.org/8.3/samples/sample_building_java_applications.html).
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1. Update your `build.gradle` file by inserting 4 new dependencies:
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```gradle
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dependencies {
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implementation 'com.azure:azure-ai-vision-imageanalysis:0.15.1-beta.1'
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implementation 'com.azure:azure-core-http-netty:1.13.6'
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implementation 'org.slf4j:slf4j-api:2.0.7'
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implementation 'org.slf4j:slf4j-simple:2.0.7'
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}
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```
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```gradle
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dependencies {
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implementation 'com.azure:azure-ai-vision-imageanalysis:0.15.1-beta.1'
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implementation 'com.azure:azure-core-http-netty:1.13.6'
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implementation 'org.slf4j:slf4j-api:2.0.7'
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implementation 'org.slf4j:slf4j-simple:2.0.7'
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}
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```
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1. Update the version value in `com.azure:azure-ai-vision-imageanalysis:0.15.1-beta.1` based on the latest version you find in the Maven repository for the [azure-ai-vision-imageanalysis](https://mvnrepository.com/artifact/com.azure/azure-ai-vision-imageanalysis) package.
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1. Update your Java application with Image Analysis code, compile and run it.
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1. Update your Java application to do Image Analysis using the Azure AI Vision SDK, compile and run your application.
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---

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