# New Release: Ultralytics v8.3.0

**URL:** https://community.ultralytics.com/t/new-release-ultralytics-v8-3-0/302
**Category:** Discussion
**Tags:** announcements, ultralytics-official, releases
**Created:** [September 30, 2024, 1:11pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-0/302 "2024-09-30T13:11:36Z")
**Posts on this page:** 1
**Page:** 1

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### Author: ![glenn-jocher](https://sea1.discourse-cdn.com/flex001/user_avatar/community.ultralytics.com/glenn-jocher/32/83_2.png) [@glenn-jocher](https://community.ultralytics.com/u/glenn-jocher)
#### Post date: [September 30, 2024, 1:11pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-0/302/1 "2024-09-30T13:11:36Z")

</div>

# 🎉 Announcing Ultralytics YOLO11 v8.3.0!

## 🌟 Summary

We’re thrilled to announce the release of [Ultralytics YOLO11](https://www.ultralytics.com), the latest advancement in real-time object detection and computer vision. Developed with contributions from [@Laughing-q](https://github.com/Laughing-q) and [@glenn-jocher](https://github.com/glenn-jocher), YOLO11 redefines performance and efficiency. Dive into the details in [PR #16539](https://github.com/ultralytics/ultralytics/pull/16539).

 ![YOLO11 Performance Plots](https://us1.discourse-cdn.com/flex001/uploads/ultralytics1/original/1X/9fa4a8aa0440e464f1270e199e6e1f74fa702ab1.png)

## 📊 Key Highlights

- **🚀 YOLO11 Model Unveiled** : A major upgrade over YOLOv8, featuring enhanced architecture and optimized pipelines.
- **📚 Revamped Documentation** : Improved guides and resources for a seamless transition to YOLO11.
- **🛠 Streamlined CI & Dockerfiles** : Optimized for YOLO11 to ensure smooth workflows.
- **🔄 Augmentation & Blocks Upgraded** : New modules boost performance across tasks.
- **🔧 YOLO11-Specific Configurations** : Tailored configurations to leverage advanced features.

## 🎯 Purpose & Impact

- **Top-Tier Performance** : Achieve better accuracy with fewer parameters, enhancing real-time detection.
- **Versatility** : Supports a wide range of tasks, from object detection to pose estimation, adaptable across environments.
- **Easy Adoption** : Updated resources and tutorials make it easy to maximize YOLO11’s capabilities.

## What’s Changed

- Update `test_exports.py` by [@glenn-jocher](https://github.com/glenn-jocher) in [PR #16527](https://github.com/ultralytics/ultralytics/pull/16527)
- Fix `hand-keypoints.yaml` image counts by [@jk4e](https://github.com/jk4e) in [PR #16528](https://github.com/ultralytics/ultralytics/pull/16528)
- Update `Dockerfile-python` by [@glenn-jocher](https://github.com/glenn-jocher) in [PR #16529](https://github.com/ultralytics/ultralytics/pull/16529)
- Use `apt-get` in Dockerfiles by [@glenn-jocher](https://github.com/glenn-jocher) in [PR #16535](https://github.com/ultralytics/ultralytics/pull/16535)
- `ultralytics 8.3.0` YOLO11 Models Release by [@glenn-jocher](https://github.com/glenn-jocher) in [PR #16539](https://github.com/ultralytics/ultralytics/pull/16539)

**Full Changelog** : [View here](https://github.com/ultralytics/ultralytics/compare/v8.2.103...v8.3.0)

## 🚀 Try It Now!

We invite you to explore YOLO11 v8.3.0 and share your feedback. Your insights are invaluable to us as we continue to enhance our models. Check out the [release page](https://github.com/ultralytics/ultralytics/releases/tag/v8.3.0) for more details.

Thank you for being part of the Ultralytics community!
