Accurate prediction box custom vision

Student xyz 21 Reputation points
2021-09-10T14:16:23.743+00:00

I would like to know how to make the red prediction boxes more accurate.

I am extremely accurate in providing the exact region with the according label but I don't see the accuracy of the red box getting better.
Examples:

region marking plus labeling:
131130-image.png

Quick test result
131136-image.png

Desired test result accuracy
131263-image.png

Hope to get some input from the community

Azure Computer Vision
Azure Computer Vision
An Azure artificial intelligence service that analyzes content in images and video.
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Azure AI Custom Vision
Azure AI Custom Vision
An Azure artificial intelligence service and end-to-end platform for applying computer vision to specific domains.
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Azure AI services
Azure AI services
A group of Azure services, SDKs, and APIs designed to make apps more intelligent, engaging, and discoverable.
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2 answers

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  1. GiftA-MSFT 11,166 Reputation points
    2021-09-13T15:47:34.857+00:00

    Hi, thanks for clarifying. The following document describes how to improve custom vision model. Based on the information you provided above, my recommendation would be to:

    • Be aware of input image requirements
    • Provide at least 30 images per tag
    • Add more images and balance data; retrain
    • Add images with varying background, lighting, object size, camera angle, and style; retrain
    • Use new image(s) to test prediction
    • Modify existing training data according to prediction results (you can use prediction images for further training)

    Hope this helps!

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  2. Student xyz 21 Reputation points
    2021-09-13T16:16:59.363+00:00

    Thanks for answering. I already have tried most of the points you mentioned but I also see some things I haven't tried. I appreciate your help!

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