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modifying annotated objects that are annotated automatically using a trained yolov5 model #11379

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pejman3610 opened this issue Apr 18, 2023 · 3 comments
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@pejman3610
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Hi Ultralytics team,

I was able to train a YOLOv5 model and use it to automatically annotate new datasets. However, I am currently facing an issue where I am unable to modify previously annotated objects, change label names or add new annotations. Could you please advise me if it's possible to perform these tasks with the current setup?

I would greatly appreciate your advice on this matter.

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@pejman3610 pejman3610 added the question Further information is requested label Apr 18, 2023
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github-actions bot commented Apr 18, 2023

👋 Hello @pejman3610, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

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Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

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YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

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Introducing YOLOv8 🚀

We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!

Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.

Check out our YOLOv8 Docs for details and get started with:

pip install ultralytics

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👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

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Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLO 🚀 and Vision AI ⭐

@github-actions github-actions bot added the Stale Stale and schedule for closing soon label May 22, 2023
@github-actions github-actions bot closed this as not planned Won't fix, can't repro, duplicate, stale Jun 1, 2023
@glenn-jocher
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@pejman3610 hi there! 👋

After automating annotation with a trained YOLOv5 model, you can freely modify the annotated objects and change label names using annotation software like labelImg, VoTT, or via scripting.

For more details, feel free to check out the YOLOv5 documentation at https://docs.ultralytics.com/yolov5/ for further guidance.

Let me know if you have any other questions. Good luck with your project!

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