Product Recognition in Retail/E-Commerce with Azure AI
summary
Builds a live demo that uses Azure AI services and customvision.ai to train an object‑detection model, uploads ~68 images, and shows the trained model returning JSON with tag names and probabilities and redirecting matches to an e‑commerce product page. Reports training thresholds (needs ~15 images per tag), recommends ~30–50 for stability, and shows metrics like 91.7% precision and 100% recall on a simple four‑product set. Demonstrates the app calling the prediction API, parsing scores, and using a 90% cutoff to decide success.
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chapters (6)
- 0:00AI in retail and e-commerce
- 4:37Product recognition demo with Azure AI
- 12:52AI as solution building blocks
- 25:34Integrating model into web app
- 31:11AI use cases beyond visual search
- 34:27Q&A on model training
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