# New Release: Ultralytics v8.3.72

**URL:** <https://community.ultralytics.com/t/new-release-ultralytics-v8-3-72/746>\
**Category:** Discussion\
**Tags:** ultralytics-official, releases, announcements\
**Created:** [February 6, 2025, 1:21pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-72/746 "2025-02-06T13:21:27Z")\
**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:** [February 6, 2025, 1:21pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-72/746/1 "2025-02-06T13:21:27Z")

</div>

# 🚀 Ultralytics Release v8.3.72 Announcement

We are excited to announce the release of **Ultralytics v8.3.72** , packed with enhancements for NVIDIA Jetson DLA inference, improved export functionalities, and a host of optimizations and fixes. This release enhances usability, performance, and documentation to ensure a smoother experience for all users. Here’s a closer look at what’s new:

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## 🌟 Summary

The **v8.3.72** release focuses on:

- Enhancing **NVIDIA Jetson DLA** support for improved inference compatibility.
- Overhauling **export documentation** for better clarity and configurability.
- Optimizing **segmentation rendering** for improved label handling.
- Fixing bugs to improve reliability, particularly for advanced setups like multi-GPU training.
- Providing enriched resources for the **Crack Segmentation Dataset**.

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## 📊 Key Changes

### **New Features**

1. **Enhanced NVIDIA Jetson DLA Support** :

2. **Export Documentation Overhaul** :

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### **Improvements**

- **Optimized `seg_bbox` Rendering** :

- **Streamlined Crack Segmentation Documentation** :

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### **Bug Fixes**

1. Fixed a missing **`nc` attribute error** during NMS export, improving reliability for custom models and multi-GPU setups.
2. Improved dependencies by replacing `beautifulsoup4` with **`mkdocs-ultralytics-plugin>=0.1.17`** to streamline documentation builds.
3. Addressed warnings and inefficiencies for better code stability.

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## 🎯 Purpose & Impact

### Why Upgrade?

- **Improved Compatibility** : NVIDIA Jetson DLA updates improve edge AI device compatibility for more seamless inference setups.
- **Simplified Exports** : Enhanced export docs clarify configurations, empowering users to tailor models easily for any deployment scenario.
- **Faster Visualization** : Optimizations reduce runtime overhead, improving segmentation and plotting speed.
- **Enhanced Reliability** : Fixed issues ensure a smoother experience, especially for complex systems like multi-GPU or custom-designed models.
- **Easier Onboarding** : Comprehensive Crack Segmentation resources help researchers get started quickly with actionable datasets.

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## 🙌 Acknowledgments

Special thanks to our community contributors for their stellar efforts in this release:

- **@RizwanMunawar** : Segmentation optimizations, Crack Segmentation resources ([#19056](https://github.com/ultralytics/ultralytics/pull/19056), [#19086](https://github.com/ultralytics/ultralytics/pull/19086))
- **@glenn-jocher** : Bug warnings resolution ([#19073](https://github.com/ultralytics/ultralytics/pull/19073))
- **@lakshanthad** : Export documentation updates ([#18952](https://github.com/ultralytics/ultralytics/pull/18952))
- **@Laughing-q** : NVIDIA Jetson DLA improvements, dependency updates ([#19078](https://github.com/ultralytics/ultralytics/pull/19078), [#19085](https://github.com/ultralytics/ultralytics/pull/19085))
- **@Y-T-G** : Fix for `nc` attribute error ([#19083](https://github.com/ultralytics/ultralytics/pull/19083))

Full list of changes: [v8.3.72 Changelog](https://github.com/ultralytics/ultralytics/compare/v8.3.71...v8.3.72)

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## 🌟 How to Get Started

Update your Ultralytics package to the latest version:

```bash
pip install ultralytics --upgrade

```

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## 💬 Join the Conversation

We would love to hear your feedback! Try out the latest release and let us know your thoughts, experiences, and suggestions in the [Ultralytics Discussions](https://github.com/ultralytics/ultralytics/discussions).

Thank you for being part of the YOLO and Ultralytics journey. Your contributions and collaboration fuel every improvement! 🚀