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the models available on Ultralytics' hub? #765

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jamesparkskku opened this issue Jul 10, 2024 · 2 comments
Open
1 task done

the models available on Ultralytics' hub? #765

jamesparkskku opened this issue Jul 10, 2024 · 2 comments
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question Further information is requested Stale Stale and schedule for closing soon

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@jamesparkskku
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I was unable to use it on my computer and Colab due to capacity issues. Is there a way to modify the YOLOv10 network and train it using a YAML file I created when working on a project with the models available on Ultralytics' hub?

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@jamesparkskku jamesparkskku added the question Further information is requested label Jul 10, 2024
@pderrenger
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@jamesparkskku hello!

Thank you for reaching out and for checking the existing issues and discussions before posting your question. It's great to see your interest in customizing and training YOLO models using Ultralytics HUB.

To address your query, yes, you can modify the YOLOv10 network and train it using a custom YAML file. Here’s a step-by-step guide to help you get started:

  1. Upload Your Dataset: First, ensure your dataset is uploaded to the Ultralytics HUB. You can do this directly from the Home page by clicking on "Upload Dataset." For more details, you can refer to the datasets documentation.

  2. Create a Project: Next, create a new project by selecting "Create Project" on the Home page. This will help you organize your work and keep track of your models and datasets.

  3. Modify the YAML File: Customize your YAML file according to your project requirements. This file should define your dataset paths, number of classes, and other relevant parameters.

  4. Train Your Model: Once your dataset and YAML file are ready, you can start training your model. On the Home page, select "Train Model" and choose the appropriate settings, including your custom YAML file. The Ultralytics HUB will handle the training process for you.

Here’s a basic example of what your YAML file might look like:

train: /path/to/your/train/images
val: /path/to/your/val/images

nc: 80  # number of classes
names: ['class1', 'class2', 'class3', ...]  # list of class names

If you encounter any capacity issues on your local machine or Colab, the Ultralytics HUB provides a robust cloud-based solution that can handle larger datasets and more intensive training processes.

Please ensure you are using the latest versions of the Ultralytics packages to avoid any compatibility issues. If the problem persists, feel free to provide more details, and we’ll be happy to assist you further.

For additional resources and detailed instructions, you can visit our quickstart guide.

Happy training! 🚀

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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.

For additional resources and information, please see the links below:

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 Aug 10, 2024
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