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Changing labels of default YOLOv5 model #11855

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fatihbulbul1 opened this issue Jul 12, 2023 · 3 comments
Closed
1 task done

Changing labels of default YOLOv5 model #11855

fatihbulbul1 opened this issue Jul 12, 2023 · 3 comments
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question Further information is requested

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@fatihbulbul1
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I am using the default YOLOv5m6 model to predict from video for my object detection project. I want to change just some of labels - for example when YOLO detects a "baseball bat", I want it to labeled as "unnecessary" etc. Is there any way I can do it just changing some code, or I should train the model from scratch by just changing labels?

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@fatihbulbul1 fatihbulbul1 added the question Further information is requested label Jul 12, 2023
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👋 Hello @fatihbulbul1, 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:

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cd yolov5
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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

@fatihbulbul1
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i found it explained here : #3577

@glenn-jocher
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@fatihbulbul1 thanks for finding the information you needed! The YOLOv5 community strives to provide comprehensive documentation and resources to help users with their projects. If you have any further questions or need assistance, feel free to ask. Keep up the great work!

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