AI-102 Implement computer vision solutions Practice Question
You are building a solution to detect if a person is wearing a hard hat in construction site images. You have a small dataset of labeled images. Which Azure service should you use?
⚠ Common exam trap
It's easy for candidates to assume Azure AI Vision Image Analysis can handle any visual detection task because of its broad 'Image Analysis' name, but it cannot be customized for niche objects like hard hats, which requires a custom training service like Custom Vision.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure Custom Vision
Azure Custom Vision is the correct choice because it allows you to train a custom image classification model with your own small dataset of labeled construction site images to detect whether a person is wearing a hard hat. Unlike pre-built services, Custom Vision specializes in fine-tuning models for specific visual concepts that are not covered by general-purpose APIs, making it ideal for niche object detection tasks like hard hat detection.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure AI Vision Image Analysis
Why it's wrong here
Image Analysis returns pretrained tags, captions and objects, but cannot be trained on your labelled hard-hat images to produce a custom classifier. It is tempting because it processes images, yet the small labelled dataset demands Custom Vision, which trains a bespoke model on your specific classes.
- ✗
Azure Video Indexer
Why it's wrong here
Video Indexer analyses video and audio streams for insights such as faces, speech and scenes; it does not train a custom image classifier from your labelled stills. It is tempting because it detects people visually, but the scenario supplies static construction-site images, not video, so Custom Vision is required.
- ✗
Azure AI Document Intelligence
Why it's wrong here
Document Intelligence extracts text, key-value pairs and tables from documents; it cannot classify hard-hat presence in photographs. It is tempting because it handles custom labelled training, but that labelling targets document structure, whereas the scenario needs object detection in images, which Custom Vision provides.
- ✓
Azure Custom Vision
Why this is correct
Custom Vision trains a classification or object detection model on your own labelled images, which suits a small domain-specific dataset of hard-hat photos. The prebuilt Computer Vision service cannot reliably detect site-specific safety equipment without custom training.
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