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‎articles/ai-services/computer-vision/includes/how-to-guides/analyze-image-40-java.md

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@@ -6,6 +6,7 @@ ms.subservice: computer-vision
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ms.topic: include
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ms.date: 08/01/2023
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ms.author: pafarley
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ms.custom: references_regions
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---
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## Prerequisites
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> [!NOTE]
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> The REST API uses the terms **Smart Crops** and **Smart Crops Aspect Ratios**. The SDK uses the terms **Crop Suggestions** and **Cropping Aspect Ratios**. They both refer to the same service operation. Similarly, the REST API users the term **Read** for detecting text in the image, whereas the SDK uses the term **Text** for the same operation.
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Create a new [ImageAnalysisOptions](/java/api/com.azure.ai.vision.imageanalysis.imageanalysisoptions) object and specify the visual features you'd like to extract, by call the [setFeatures](/java/api/com.azure.ai.vision.imageanalysis.imageanalysisoptions#com-azure-ai-vision-imageanalysis-imageanalysisoptions-setfeatures(java-util-enumset(com-azure-ai-vision-imageanalysis-imageanalysisfeature))) method. [ImageAnalysisFeature](/java/api/com.azure.ai.vision.imageanalysis.imageanalysisfeature) enum defines the supported values.
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Create a new [ImageAnalysisOptions](/java/api/com.azure.ai.vision.imageanalysis.imageanalysisoptions) object and specify the visual features you'd like to extract, by calling the [setFeatures](/java/api/com.azure.ai.vision.imageanalysis.imageanalysisoptions#com-azure-ai-vision-imageanalysis-imageanalysisoptions-setfeatures(java-util-enumset(com-azure-ai-vision-imageanalysis-imageanalysisfeature))) method. [ImageAnalysisFeature](/java/api/com.azure.ai.vision.imageanalysis.imageanalysisfeature) enum defines the supported values.
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[!code-java[](~/azure-ai-vision-sdk/docs/learn.microsoft.com/java/image-analysis/how-to/ImageAnalysis.java?name=visual_features)]
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‎articles/ai-services/computer-vision/includes/quickstarts-sdk/image-analysis-java-sdk-40.md

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Open a console window and create a new folder for your quickstart application.
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1. Open a text editor and copy the following content to a new file. Save the file as `pom.xml` in your project directory
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<!-- [!INCLUDE][](https://raw.githubusercontent.com/Azure-Samples/azure-ai-vision-sdk/main/docs/learn.microsoft.com/java/image-analysis/quick-start/pom.xml)] -->
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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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<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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<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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<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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<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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</dependencies>
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</project>
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```
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<!-- [!INCLUDE][](https://raw.githubusercontent.com/Azure-Samples/azure-ai-vision-sdk/main/docs/learn.microsoft.com/java/image-analysis/quick-start/pom.xml)] -->
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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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<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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<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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<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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<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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</dependencies>
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</project>
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```
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1. Install the SDK and dependencies by running the following in the project directory:
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```console
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mvn clean dependency:copy-dependencies
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```
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```console
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mvn clean dependency:copy-dependencies
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```
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1. Once the operation succeeds, verify that the folders `target\dependency` were creating and they contain `.jar` files.
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For more information, see the [SDK installation guide](../../sdk/install-sdk.md?pivots=programming-language-java).

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