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using yolo for assisted labeling #7935

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williamhoole opened this issue May 23, 2024 · 2 comments
Open
2 tasks done

using yolo for assisted labeling #7935

williamhoole opened this issue May 23, 2024 · 2 comments
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enhancement New feature or request

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@williamhoole
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  • I searched the existing issues and did not find anything similar.
  • I read/searched the docs

Is your feature request related to a problem? Please describe.

I am not that experienced with CVAT but i see you are able to do assisted labeling with a pre-trained model. However the process of getting this to work is pretty complex and i havent gotten it to work. I would like to use either a yolov5 or yolov8 model from ultralytics to assist during my annotation process. I have the weights locally on my computer and wold like to import it to cvat. Is it possible to do this online? or will i have to download cvat with all its docker containers and get that to running... followed by the nucli server etc. could someone assist on how to do this in a more simpler way? Since Yolo is probably the most common object detection framework.

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@williamhoole williamhoole added the enhancement New feature or request label May 23, 2024
@davy-blavette
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It seems to me that CVAT doesn't offer Yolov5 or Yolov8 for reasons of license incompatibility, but it is possible to use them locally if you set the serveless correctly.

@O-J1
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O-J1 commented Jul 17, 2024

It seems to me that CVAT doesn't offer Yolov5 or Yolov8 for reasons of license incompatibility, but it is possible to use them locally if you set the serveless correctly.

Do you happen to have or know of any guidance on this?

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