CODEWITHSUNDEEP
azure-cognitive-servicesgoogle-vision
Charles
Charles

Reputation: 33

How many objects these Computer Vision API can detect?

https://learn.microsoft.com/fr-fr/azure/cognitive-services/computer-vision/concept-object-detection

https://cloud.google.com/vision/docs/object-localizer

I would want to know how many and which objects are recognizable using theses APIs and I can't find a mention of that fact.

I found that google API use https://developers.google.com/knowledge-graph/ which is based on schema.org types but I don't really understand well what it's all about.

Upvotes: 0

Views: 388

Answers (2)

ibra-kdabra
ibra-kdabra

Reputation: 1

To detect specific objects, it is recommended to use Custom Vision instead of general Computer Vision APIs. Custom Vision allows you to train your model with your own images to match the objects you are trying to detect. This approach provides more accurate and tailored results for your specific use case.

Upvotes: 0

Nicolas R
Nicolas R

Reputation: 14609

I'm sorry but as far as I know, there is no fixed list of classes that Azure Computer Vision is able to detect.

By the way, even if there was one, this list is evolving on a regular basis (but no schedule is announced).

In any case, there are limitations (see doc here):

It's important to note the limitations of object detection so you can avoid or mitigate the effects of false negatives (missed objects) and limited detail.

  • Objects are generally not detected if they're small (less than 5% of the image).
  • Objects are generally not detected if they're arranged closely together (a stack of plates, for example).
  • Objects are not differentiated by brand or product names (different types of sodas on a store shelf, for example). However, you can get brand information from an image by using the Brand detection feature.

If you want to detect specific objects, I would highly suggest using Custom Vision (doc / overview here), not Computer Vision, where you can train your model with your own images to match what you are trying to detect

Upvotes: 1

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