Microsoft Certified: Azure AI Engineer AssociateImplement image and video processing solutionsEasy
A manufacturing company wants to implement an intelligent quality control system for its assembly line. The system needs to quickly identify if a product is 'defective' or 'non-defective' based on visual inspection. The defects are highly specific to their products and require a high degree of accuracy. Which Azure AI service is the best choice for this image classification task?
- AAzure Computer Vision's Analyze Image
- BAzure Video Indexer
- CAzure Custom Vision's Classification
- DAzure Form Recognizer
Show answer & explanationAnswer & explanation
Correct answer: C. Azure Custom Vision's Classification
Azure Custom Vision is designed for building custom image classification models using your own labeled data. This is ideal for identifying highly specific defects unique to a product line, as it allows training a model to distinguish between 'defective' and 'non-defective' products with high accuracy.
Why the other options are wrong
- A. Analyze Image provides general tags and descriptions but cannot be trained for highly specific, custom defect classification.
- B. Video Indexer is for analyzing video and audio, not static image classification for quality control.
- D. Form Recognizer is for extracting data from documents, not for visual quality control of products.
Azure Custom Vision Classification
A service that empowers users to build and deploy custom image classification models to categorize images into user-defined classes.
- Requires a dataset of labeled images
- Outputs a probability score for each class
- Ideal for domain-specific visual categorization (e.g., defect detection)
- Supports iterative training for model improvement
Memory trick: Custom Vision Classifies My Products Perfectly.