My team member deleted the labeled dataset in Azure ML Studio, is there a way to recover it with the exported COCO file?

Anonymous
2025-03-05T09:27:28.1433333+00:00

Hi community. My team member deleted the labeled dataset in Azure ML Studio, but the good thing is we have exported the COCO file and MLTable for that dataset, may I ask is there a way to recover it?

Azure Machine Learning
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An Azure machine learning service for building and deploying models.
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  1. Vikram Singh 2,585 Reputation points Microsoft Employee Moderator
    2025-03-06T14:03:05.6033333+00:00

    Hi @******@vivacityapp.com

    Welcome to the Microsoft Q&A and thank you for posting your questions here.

    I understand the frustration of accidentally deleting a resource in Azure Machine Learning Studio. Fortunately, there are steps you can take to recover your data labels from the exported COCO file and re-import them into a new data labeling project.

    1. Verify the COCO File: Ensure that the COCO file you exported contains the necessary annotations. The COCO format typically includes information about images, annotations, categories, and other metadata.
    2. Create a New Data Labeling Project: In Azure Machine Learning Studio, create a new data labeling project. Make sure to select the appropriate project type (e.g., image classification, object detection).
    3. Prepare the COCO File for Import: The COCO file needs to be in a format that Azure Machine Learning can recognize. If there are any discrepancies or formatting issues, you might need to adjust the file. Ensure that the bounding box coordinates and other annotations are correctly specified.
    4. Upload the COCO File: Upload the COCO file to the new data labeling project. You can do this by navigating to the "Data" section of your project and selecting the option to import data. Choose the COCO file and follow the prompts to complete the import process.
    5. Verify the Imported Data: After importing the COCO file, verify that the annotations have been correctly imported into the new data labeling project. You can do this by reviewing a few sample images and their corresponding annotations.

    For more info, please refer to:

    Let me know if you tried the above steps and still facing the issues, will be happy to assist to you further.

    Thanks

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