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1.4.1. Pre-built vs Custom Models
Azure offers two approaches for AI capabilities:
The following table compares pre-built and custom approaches:
| Approach | When to Use | Training Required? | Example |
|---|---|---|---|
| Pre-built models | Common scenarios (generic objects, common languages) | No | Azure AI Vision detects thousands of common objects |
| Custom models | Domain-specific needs (your products, specialized terminology) | Yes, with your data | Custom Vision trained on YOUR product catalog |
Decision framework: If generic, off-the-shelf recognition works for your scenario, use pre-built. If you need to recognize YOUR specific items, train a custom model.
Written byAlvin Varughese
Founder•15 professional certifications