sickn33/antigravity-awesome-skills/azure-ai-vision-imageanalysis-java

Name: azure-ai-vision-imageanalysis-java
Author: sickn33

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sickn33/antigravity-awesome-skills
skills/azure-ai-vision-imageanalysis-java/SKILL.md
Updated 23 Mar 2026
Version 1.0.0

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Build image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, tagging, or smart cropping.

Install

npx vskill@latest install sickn33/antigravity-awesome-skills/azure-ai-vision-imageanalysis-java

SKILL.md

Azure AI Vision Image Analysis SDK for Java

Build image analysis applications using the Azure AI Vision Image Analysis SDK for Java.

Installation

xml

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

Client Creation

With API Key

java

import com.azure.ai.vision.imageanalysis.ImageAnalysisClient;
import com.azure.ai.vision.imageanalysis.ImageAnalysisClientBuilder;
import com.azure.core.credential.KeyCredential;
 
String endpoint = System.getenv("VISION_ENDPOINT");
String key = System.getenv("VISION_KEY");
 
ImageAnalysisClient client = new ImageAnalysisClientBuilder()
    .endpoint(endpoint)
    .credential(new KeyCredential(key))
    .buildClient();

Async Client

java

import com.azure.ai.vision.imageanalysis.ImageAnalysisAsyncClient;
 
ImageAnalysisAsyncClient asyncClient = new ImageAnalysisClientBuilder()
    .endpoint(endpoint)
    .credential(new KeyCredential(key))
    .buildAsyncClient();

With DefaultAzureCredential

java

import com.azure.identity.DefaultAzureCredentialBuilder;
 
ImageAnalysisClient client = new ImageAnalysisClientBuilder()
    .endpoint(endpoint)
    .credential(new DefaultAzureCredentialBuilder().build())
    .buildClient();

Visual Features

Feature	Description
`CAPTION`	Generate human-readable image description
`DENSE_CAPTIONS`	Captions for up to 10 regions
`READ`	OCR - Extract text from images
`TAGS`	Content tags for objects, scenes, actions
`OBJECTS`	Detect objects with bounding boxes
`SMART_CROPS`	Smart thumbnail regions
`PEOPLE`	Detect people with locations

Core Patterns

Generate Caption

java

import com.azure.ai.vision.imageanalysis.models.*;
import com.azure.core.util.BinaryData;
import java.io.File;
import java.util.Arrays;
 
// From file
BinaryData imageData = BinaryData.fromFile(new File("image.jpg").toPath());
 
ImageAnalysisResult result = client.analyze(
    imageData,
    Arrays.asList(VisualFeatures.CAPTION),
    new ImageAnalysisOptions().setGenderNeutralCaption(true));
 
System.out.printf("Caption: \"%s\" (confidence: %.4f)%n",
    result.getCaption().getText(),
    result.getCaption().getConfidence());

Generate Caption from URL

java

ImageAnalysisResult result = client.analyzeFromUrl(
    "https://example.com/image.jpg",
    Arrays.asList(VisualFeatures.CAPTION),
    new ImageAnalysisOptions().setGenderNeutralCaption(true));
 
System.out.printf("Caption: \"%s\"%n", result.getCaption().getText());

Extract Text (OCR)

java

ImageAnalysisResult result = client.analyze(
    BinaryData.fromFile(new File("document.jpg").toPath()),
    Arrays.asList(VisualFeatures.READ),
    null);
 
for (DetectedTextBlock block : result.getRead().getBlocks()) {
    for (DetectedTextLine line : block.getLines()) {
        System.out.printf("Line: '%s'%n", line.getText());
        System.out.printf("  Bounding polygon: %s%n", line.getBoundingPolygon());
        
        for (DetectedTextWord word : line.getWords()) {
            System.out.printf("  Word: '%s' (confidence: %.4f)%n",
                word.getText(),
                word.getConfidence());
        }
    }
}

Detect Objects

java

ImageAnalysisResult result = client.analyzeFromUrl(
    imageUrl,
    Arrays.asList(VisualFeatures.OBJECTS),
    null);
 
for (DetectedObject obj : result.getObjects().getValues()) {
    System.out.printf("Object: %s (confidence: %.4f)%n",
        obj.getTags().get(0).getName(),
        obj.getTags().get(0).getConfidence());
    
    ImageBoundingBox box = obj.getBoundingBox();
    System.out.printf("  Location: x=%d, y=%d, w=%d, h=%d%n",
        box.getX(), box.getY(), box.getWidth(), box.getHeight());
}

Get Tags

java

ImageAnalysisResult result = client.analyzeFromUrl(
    imageUrl,
    Arrays.asList(VisualFeatures.TAGS),
    null);
 
for (DetectedTag tag : result.getTags().getValues()) {
    System.out.printf("Tag: %s (confidence: %.4f)%n",
        tag.getName(),
        tag.getConfidence());
}

Detect People

java

ImageAnalysisResult result = client.analyzeFromUrl(
    imageUrl,
    Arrays.asList(VisualFeatures.PEOPLE),
    null);
 
for (DetectedPerson person : result.getPeople().getValues()) {
    ImageBoundingBox box = person.getBoundingBox();
    System.out.printf("Person at x=%d, y=%d (confidence: %.4f)%n",
        box.getX(), box.getY(), person.getConfidence());
}

Smart Cropping

java

ImageAnalysisResult result = client.analyzeFromUrl(
    imageUrl,
    Arrays.asList(VisualFeatures.SMART_CROPS),
    new ImageAnalysisOptions().setSmartCropsAspectRatios(Arrays.asList(1.0, 1.5)));
 
for (CropRegion crop : result.getSmartCrops().getValues()) {
    System.out.printf("Crop region: aspect=%.2f, x=%d, y=%d, w=%d, h=%d%n",
        crop.getAspectRatio(),
        crop.getBoundingBox().getX(),
        crop.getBoundingBox().getY(),
        crop.getBoundingBox().getWidth(),
        crop.getBoundingBox().getHeight());
}

Dense Captions

java

ImageAnalysisResult result = client.analyzeFromUrl(
    imageUrl,
    Arrays.asList(VisualFeatures.DENSE_CAPTIONS),
    new ImageAnalysisOptions().setGenderNeutralCaption(true));
 
for (DenseCaption caption : result.getDenseCaptions().getValues()) {
    System.out.printf("Caption: \"%s\" (confidence: %.4f)%n",
        caption.getText(),
        caption.getConfidence());
    System.out.printf("  Region: x=%d, y=%d, w=%d, h=%d%n",
        caption.getBoundingBox().getX(),
        caption.getBoundingBox().getY(),
        caption.getBoundingBox().getWidth(),
        caption.getBoundingBox().getHeight());
}

Multiple Features

java

ImageAnalysisResult result = client.analyzeFromUrl(
    imageUrl,
    Arrays.asList(
        VisualFeatures.CAPTION,
        VisualFeatures.TAGS,
        VisualFeatures.OBJECTS,
        VisualFeatures.READ),
    new ImageAnalysisOptions()
        .setGenderNeutralCaption(true)
        .setLanguage("en"));
 
// Access all results
System.out.println("Caption: " + result.getCaption().getText());
System.out.println("Tags: " + result.getTags().getValues().size());
System.out.println("Objects: " + result.getObjects().getValues().size());
System.out.println("Text blocks: " + result.getRead().getBlocks().size());

Async Analysis

java

asyncClient.analyzeFromUrl(
    imageUrl,
    Arrays.asList(VisualFeatures.CAPTION),
    null)
    .subscribe(
        result -> System.out.println("Caption: " + result.getCaption().getText()),
        error -> System.err.println("Error: " + error.getMessage()),
        () -> System.out.println("Complete")
    );

Error Handling

java

import com.azure.core.exception.HttpResponseException;
 
try {
    client.analyzeFromUrl(imageUrl, Arrays.asList(VisualFeatures.CAPTION), null);
} catch (HttpResponseException e) {
    System.out.println("Status: " + e.getResponse().getStatusCode());
    System.out.println("Error: " + e.getMessage());
}

Environment Variables

bash

VISION_ENDPOINT=https://<resource>.cognitiveservices.azure.com/
VISION_KEY=<your-api-key>

Image Requirements

Formats: JPEG, PNG, GIF, BMP, WEBP, ICO, TIFF, MPO
Size: < 20 MB
Dimensions: 50x50 to 16000x16000 pixels

Regional Availability

Caption and Dense Captions require GPU-supported regions. Check supported regions before deployment.

Trigger Phrases

"image analysis Java"
"Azure Vision SDK"
"image captioning"
"OCR image text extraction"
"object detection image"
"smart crop thumbnail"
"detect people image"

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Feature result wrappers may be absent when not requested; null-check each requested result and check a detected object has tags before indexing get(0). Verify model/feature availability and signatures for the pinned SDK. Scores/captions/OCR are uncertain model outputs, not identity or factual proof. Authorize cloud transfer of private images and protect output text. See ImageAnalysisResult API.

Security

Security scanPassed, 93 of 100Pattern checks on the skill's files.
Model reviewNot runA model review is scheduled for the next rescan.

See the full security report

Quality evaluation

Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

See evaluation results

Source

SKILL.md in the repositoryCheckingskills/azure-ai-vision-imageanalysis-java/SKILL.md

Popularity

Repository stars: 26,770
Repository forks: 4,544
Repository npm downloads, 7 days: 5,562
7-day trend score: 72

Stars and forks are for the whole GitHub repository, not this skill alone. Downloads are for the repository's npm package. Refreshed 23 Mar 2026, 7 months ago.

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