How to get started with Computer Vision AutoML in Azure
summary
Azure Custom Vision on Cognitive Services shows actual steps: create resource with training and prediction, upload labeled images, and hit Train. A useful baseline uses as few as 35 images per class, fast training or an hour-plus advanced slider, and evaluation metrics like 99.9% on held-out samples. Deployment gives a prediction URL consumable via Postman, and models can be exported to iPhone/Android for on-device inference.
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chapters (6)
- 0:00Introduction and motivation
- 2:45Computer vision foundations
- 5:38Setting up Azure custom vision
- 8:43Training and deployment
- 10:53Advanced features and demos
- 13:05Q&A and closing thoughts
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