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glenn-jocher avatar glenn-jocher commented on July 22, 2024 2

Hello!

Thank you for your interest in extending YOLOv8 with class incremental learning capabilities. Currently, there isn't a built-in feature in YOLOv8 specifically designed for incremental class learning. However, this is indeed an interesting area for future development.

While we don't have immediate plans to incorporate this feature, we are always open to community contributions and suggestions. If you or anyone else is interested in developing this feature, we encourage you to fork the repository and experiment with your ideas. Contributions that align with our goals and show promising results could potentially be merged into the main branch.

For now, you might consider adapting existing incremental learning frameworks to work with YOLOv8 or exploring ways to modify the training process to accommodate new classes without retraining from scratch.

Thanks again for your suggestion, and we look forward to seeing innovative contributions from the community!

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github-actions avatar github-actions commented on July 22, 2024

👋 Hello @taheritajar, thank you for your interest in Ultralytics YOLOv8 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

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.

Join the vibrant Ultralytics Discord 🎧 community for real-time conversations and collaborations. This platform offers a perfect space to inquire, showcase your work, and connect with fellow Ultralytics users.

Install

Pip install the ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.

pip install ultralytics

Environments

YOLOv8 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

Status

Ultralytics CI

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLOv8 Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

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github-actions avatar github-actions commented on July 22, 2024

👋 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 ⭐

from ultralytics.

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