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Azure AI Services

Guidance for building and deploying AI solutions on Azure using Azure AI services and Copilot for Azure

microsoftGitHub microsoftOfficialSource repo Original GitHub link Publisher page

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SKILL.md

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references/sdk/azure-ai-vision-imageanalysis-java.md

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Azure AI Vision Image Analysis — Java SDK Quick Reference

Condensed from azure-ai-vision-imageanalysis-java. Full patterns (dense captions, smart crops, people detection) in the azure-ai-vision-imageanalysis-java plugin skill if installed.

Install

<dependency>
  <groupId>com.azure</groupId>
  <artifactId>azure-ai-vision-imageanalysis</artifactId>
  <version>1.1.0-beta.1</version>
</dependency>

Quick Start

import com.azure.ai.vision.imageanalysis.ImageAnalysisClient;
import com.azure.ai.vision.imageanalysis.ImageAnalysisClientBuilder;
import com.azure.ai.vision.imageanalysis.models.*;
ImageAnalysisClient client = new ImageAnalysisClientBuilder()
    .endpoint(endpoint).credential(credential).buildClient();

Non-Obvious Patterns

File input: BinaryData.fromFile(new File("img.jpg").toPath())
URL: client.analyzeFromUrl(url, Arrays.asList(VisualFeatures.CAPTION), options)
ImageAnalysisOptions.setSmartCropsAspectRatios(Arrays.asList(1.0, 1.5))

Best Practices

Select only needed features to reduce latency and cost
Caption/Dense Captions require GPU-supported regions
Use setGenderNeutralCaption(true) for inclusive output
Specify language with setLanguage("en") for localized captions
Use async client for high-throughput scenarios