Azure Vision Studio, could not find a option to retrain existing custom model with new COCO file (training image).

Sumit Bera 20 Reputation points

Hello, Azure Vision Studio, could not find a option to retrain existing custom model with new COCO file (training image). I have trained a custom model in Azure Vision studio using COCO file. After successful training I am using this model for Image analysis prediction API, its working fine. Now I have to add new training images, I have created a new COCO file but I don't want to create new custom model, can I use existing custom model to retrain with new COCO file. Reason is I don't want to change the Image Analysis (Prediction API) REST API end point, its being used in production. If I create new custom model, I need to modify the API to add this new model id in API end point. Your early help would be appreciated. Thanks & Regards Sumit Bera

Azure Computer Vision
Azure Computer Vision
An Azure artificial intelligence service that analyzes content in images and video.
284 questions
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Accepted answer
  1. VasaviLankipalle-MSFT 11,296 Reputation points

    Hello @Sumit Bera , Thanks for your time and patience throughout this issue.

    The product team confirmed that this is the current limitation of the service. Unfortunately, this feature does not let you retrain the existing model with new data. The best approach would be to delete the previous model and use the same name for the new model because you will not be able to retrain. However, we understand that this is not an ideal approach, especially if you have already paid to train the previous model.

    We recommend training another model with this data and making your production code configurable and version the model in its name so it's easily replaceable. While this may require additional effort.

    We apologize for any inconvenience this may cause, and we appreciate your understanding.

    I hope this helps.



    Please remember to "Accept Answer" if any answer/reply helped, so that others in the community facing similar issues can easily find the solution.

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