Create a new release including recent changes (esp. dependency updates)

[laodouya]

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• I have searched the YOLOv5 issues and found no similar feature requests.

Description

Hi Ultralytics team,

Thank you for your continuous work on YOLOv5. The latest official GitHub release remains v7.0 from November 22, 2022, but the main branch continues to receive active updates regularly.

Could you please cut a new release (e.g. v7.x or v8.0) that bundles recent changes? It would be really helpful if this release note also includes:

• A clear summary of dependency/environment changes since the last release (e.g. updated requirements.txt, Python 3.8+ / PyTorch 1.8+ requirements)
• A corresponding tagged Docker image on DockerHub aligned to the new GitHub release, so users can pull ultralytics/yolov5:<tag>

Although users can pull ultralytics/yolov5:latest, it’s safer for CI and production pipelines to lock to a stable, documented tag instead of floating latest, which can break unpredictably when main moves forward.
Happy to help with reviewing changelog or testing if that’s useful!

Best regards,
laodouya

Use case

No response

Additional

No response

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[UltralyticsAssistant]

👋 Hello @laodouya, thank you for your interest in YOLOv5 🚀 and for your detailed feedback! This is an automated response to help get you started—an Ultralytics engineer will review your request and assist you soon.

Please check out our ⭐️ Tutorials for quickstart guides, including Custom Data Training and advanced topics like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug if you haven’t already.

If your request involves custom training or environment details, please share as much info as possible, such as dataset samples, logs, and confirm you’re following our Tips for Best Training Results.

Requirements

Python>=3.8.0 with all requirements.txt installed including PyTorch>=1.8. To get started:

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

Environments

YOLOv5 can be run in any of these up-to-date verified environments (with all dependencies such as CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

Thank you again for your suggestion on new releases and Docker tags—your feedback helps us improve! An Ultralytics engineer will follow up with you soon.

[pderrenger]

Thanks for the thoughtful request @laodouya! You're absolutely right that having tagged releases is important for production stability and CI pipelines. The YOLOv5 v7.0 release introduced instance segmentation models and there have been numerous improvements since then.

I'll pass your request along to the development team for consideration. Release timing involves coordination across multiple factors including feature completeness, testing, and documentation updates. Your offer to help with changelog review and testing is much appreciated - community contributions like yours are invaluable for maintaining quality releases.

In the meantime, you might consider pinning to a specific commit hash in your CI/production workflows for the same stability benefits while we work toward the next tagged release.

[github-actions]

👋 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:

• Docs: https://docs.ultralytics.com
• HUB: https://hub.ultralytics.com
• Community: https://community.ultralytics.com

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 ⭐