Computer vision: classify images and detect objects with trained Custom Vision models, from uploaded files or URLs
9 revisions
Docs are not available for this revision
This document refers to 8 other files, and Skmtc keeps one file for each revision. Docs, search, answers and code generation need the whole schema, so they are off until the publisher's document includes these files.
| Files this document refers to | References |
|---|---|
| ./examples/ClassifyImage.json | 1 |
| ./examples/ClassifyImageWithNoStore.json | 1 |
| ./examples/ClassifyImageUrl.json | 1 |
| ./examples/ClassifyImageUrlWithNoStore.json | 1 |
| ./examples/DetectImage.json | 1 |
| ./examples/DetectImageWithNoStore.json | 1 |
| ./examples/DetectImageUrl.json | 1 |
| ./examples/DetectImageUrlWithNoStore.json | 1 |
Changes
Full historySource
View schema- Spec
- Swagger 2.0
- Document
- raw.githubusercontent.com, JSON, 28 KB
- Retrieved
- Jul 13, 2026, 19:37 UTC
- Digest
- cbb14d72f9c2
For agents
Every page here has a markdown twin. The overview is one fetch; the llms.txt lists every operation with a link to its own markdown.
curl https://skmtc.dev/azure/apis/cognitiveservices-customvision-prediction.mdcurl https://skmtc.dev/azure/apis/cognitiveservices-customvision-prediction/llms.txt