# New Release: Ultralytics v8.3.99

**URL:** <https://community.ultralytics.com/t/new-release-ultralytics-v8-3-99/909>\
**Category:** Discussion\
**Tags:** releases, announcements, ultralytics-official\
**Created:** [March 30, 2025, 1:08pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-99/909 "2025-03-30T13:08:12Z")\
**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:** [March 30, 2025, 1:08pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-99/909/1 "2025-03-30T13:08:12Z")

</div>

# 🚀 Announcing Ultralytics Release v8.3.99

We are thrilled to introduce **Ultralytics v8.3.99** , our latest release packed with transformative features and major updates! This version brings cutting-edge YOLOE models, extended functionality, enhanced usability, and developer-friendly improvements.

Dive into the details below to explore what’s new and how this release elevates AI innovation.

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## 🌟 Summary

The **v8.3.99** release marks a significant milestone with the debut of **YOLOE models** , pioneering open-vocabulary detection, segmentation, and prompt-based tasks. Additionally, this update includes:

- Enhanced Docker compatibility
- Improved object tracking examples
- Streamlined repository mirroring
- Comprehensive documentation upgrades

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## 🆕 New Features

### YOLOE Model Integration

- **Open-Vocabulary Capabilities** : YOLOE supports detection and segmentation of objects beyond fixed classes, enabling dynamic, real-world applications.
- **Prompt-Free Mode** : Perform training and inference without predefined prompts, broadening its versatility.
- **Visual Prompt Embedding (SAVPE)**: A novel feature for spatial-aware feature extraction, enhancing task performance.

These advancements pave the way for creative AI tasks, autonomous systems, and much more.

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## 🚀 Improvements

### Docker Enhancements

- **Java Runtime Environment (JRE)** and version-specific `numpy` added to support **Sony IMX model exports** , ensuring seamless workflows.

### Object Tracking Examples

- Enhanced YOLO11 tracking examples to improve visualization and tackle edge cases, creating a more robust tracking implementation.

### Repository Management

- Introduced and refined **GitHub-to-DagsHub mirroring workflows** with manual triggering for better developer control and synchronization.

### Documentation Overhaul

- Simplified training guidance, dataset recommendations, and image examples for improved clarity and usability. This makes exploring and applying YOLO models more intuitive than ever.

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## 🎯 Purpose & Impact

This release empowers users by:

- **Greatly Expanding Functionality** : YOLOE’s open-vocabulary ability unlocks limitless detection and segmentation possibilities.
- **Improving Adaptability for Use Cases** : Prompt-free mode and SAVPE functionality make YOLOE models suitable for diverse environments.
- **Enhancing Developer Experience** : Updates to Docker and tracking implementation streamline development and deployment processes.
- **Ensuring Accessibility** : With improved mirroring and refined documentation, developers can stay updated and grow their projects efficiently.

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## 🔍 What’s Changed

Here’s a detailed breakdown of updates and contributors:

- **Docker Updates** : Added JRE by [@glenn-jocher](https://github.com/glenn-jocher) in [PR #19925](https://github.com/ultralytics/ultralytics/pull/19925)
- **Object Tracking Improvements** : Documentation and example updates by [@ankanpy](https://github.com/ankanpy) in [PR #19861](https://github.com/ultralytics/ultralytics/pull/19861)
- **Repository Mirroring** : New repository sync action by [@RizwanMunawar](https://github.com/RizwanMunawar) in [PR #19846](https://github.com/ultralytics/ultralytics/pull/19846)
- **Fix Mirror Action** : Workflow fixes by [@glenn-jocher](https://github.com/glenn-jocher) in [PR #19926](https://github.com/ultralytics/ultralytics/pull/19926)
- **Documentation Updates** : Refactoring and clarifications by [@glenn-jocher](https://github.com/glenn-jocher) in [PR #19927](https://github.com/ultralytics/ultralytics/pull/19927)
- **YOLOE Models** : Open-vocabulary models introduced by [@leonnil](https://github.com/leonnil) in [PR #19775](https://github.com/ultralytics/ultralytics/pull/19775)

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## 🤝 Special Thanks to New Contributors

We’d like to welcome **[@leonnil](https://github.com/leonnil)** for their first contribution in [PR #19775](https://github.com/ultralytics/ultralytics/pull/19775). The YOLOE models are a remarkable addition to our ecosystem!

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## 🔗 Additional Resources

- 🌐 Explore the full [v8.3.99 Changelog](https://github.com/ultralytics/ultralytics/compare/v8.3.98...v8.3.99)
- 📄 Access the official [Release Notes](https://github.com/ultralytics/ultralytics/releases/tag/v8.3.99)

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## 🙌 Try It and Share Your Feedback

We’re excited for you to experience **Ultralytics v8.3.99**! Test the new features and improvements, and let us know your thoughts. Join the discussion, share feedback, and help shape the future of open-source AI innovation.

Happy coding! 🚀  
– The Ultralytics Team