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.
86
80%
Does it follow best practices?
Impact
100%
1.28xAverage score across 3 eval scenarios
Passed
No findings from the security scan
Fix and improve this skill with Tessl
tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/azure-ai-vision-imageanalysis-java/SKILL.mdThe canonical home for this skill is azure-ai-vision-imageanalysis-java in sickn33/agentic-awesome-skills
Smart crop thumbnail generation
Correct artifactId
100%
100%
Correct SDK version
0%
100%
VISION_ENDPOINT env var
0%
100%
VISION_KEY env var
0%
100%
ImageAnalysisClientBuilder used
100%
100%
SMART_CROPS feature
100%
100%
setSmartCropsAspectRatios used
100%
100%
analyzeFromUrl used
100%
100%
getSmartCrops iterated
100%
100%
Aspect ratio accessed
100%
100%
Bounding box coordinates accessed
100%
100%
Multi-feature analysis with combined options
Correct artifactId
100%
100%
Correct SDK version
0%
100%
VISION_ENDPOINT env var
0%
100%
VISION_KEY env var
0%
100%
Multiple features single call
100%
100%
Gender-neutral caption option
100%
100%
Language option set
100%
100%
Caption text accessed
100%
100%
Object tag name accessed
100%
100%
Object bounding box accessed
100%
100%
Tags iterated with confidence
100%
100%
OCR text extraction with READ feature
Correct groupId
100%
100%
Correct artifactId
100%
100%
Correct SDK version
0%
100%
ImageAnalysisClientBuilder used
100%
100%
VISION_ENDPOINT env var
0%
100%
VISION_KEY env var
0%
100%
KeyCredential authentication
100%
100%
READ visual feature
100%
100%
BinaryData.fromFile() usage
40%
100%
Block iteration
100%
100%
Line iteration
100%
100%
Word iteration
100%
100%
Word confidence accessed
100%
100%
HttpResponseException handling
100%
100%
debb2ec
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.