# New Release: Ultralytics v8.3.85

**URL:** <https://community.ultralytics.com/t/new-release-ultralytics-v8-3-85/822>\
**Category:** Discussion\
**Tags:** releases, announcements, ultralytics-official\
**Created:** [March 7, 2025, 1:22pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-85/822 "2025-03-07T13:22:42Z")\
**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 7, 2025, 1:22pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-85/822/1 "2025-03-07T13:22:42Z")

</div>

## 🚀 Announcing Ultralytics Release v8.3.85!

We’re excited to unveil Ultralytics `v8.3.85`, a release geared towards enhancing export and inference workflows. This update includes critical fixes for TensorRT exports and substantial improvements to ONNX segmentation examples, making them more efficient, usable, and robust. Dive into the details below!

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### 🌟 Summary

This release focuses on:

- TensorRT export fixes for smoother dynamic model handling.
- Optimized ONNX segmentation examples with streamlined setup.

If you’re working on model exports or leveraging ONNX/TensorRT for inference, this update is for you!

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## 📊 Key Changes

### TensorRT Updates

- **Resolved `max_shape` Calculation Bug** : Fixed inconsistent calculations during TensorRT model export with non-zero workspace values, ensuring precise shape handling.
- **Improved Default Workspace Behavior** : When workspace settings are not specified, they now correctly default to `0`, simplifying the export process.

### ONNX Segmentation Example Enhancements

- **Simplified Preprocessing/Postprocessing** :
  - Consolidated key parameters (`iou`, `imgsz`, and `conf`) for improved readability and ease of modification.
  - Streamlined function calls for faster and cleaner code execution.

- **Unified Threshold Naming** :
  - Adjusted `iou` and `conf` to follow YOLO conventions, promoting consistency across examples.

- **Optimized Segmentation Masks** :
  - Boosted mask accuracy and computational efficiency to provide reliable results for object segmentation tasks.

- **Automated GPU Integration** :
  - Integrated GPU support automatically where available, reducing manual setup effort for backend processing.

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### 🎯 Purpose & Impact

- **For TensorRT Users** :

- **For ONNX Developers** :

- **Overall Benefits** :  
Improved model export and refined inference logic empower developers to seamlessly transition between development and deployment phases with confidence.

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## 🔎 What’s Changed

- **Cleanup and Fix ONNX Segmentation Examples**  
Contribution by [@Y-T-G](https://github.com/Y-T-G).  
PR: [ONNX Segmentation Fix](https://github.com/ultralytics/ultralytics/pull/19551).

- **TensorRT Export `max_shape` Bug Fix**  
Contribution by [@Y-T-G](https://github.com/Y-T-G).  
PR: [TensorRT Bug Fix](https://github.com/ultralytics/ultralytics/pull/19541).

**Full Changelog** : [See all changes for v8.3.85](https://github.com/ultralytics/ultralytics/compare/v8.3.84...v8.3.85).

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### 🚀 Try It Out and Share Feedback

We encourage you to update to `v8.3.85` today and explore these new improvements! Check out the [release page for v8.3.85](https://github.com/ultralytics/ultralytics/releases/tag/v8.3.85) for further details and installation instructions.

Your feedback is invaluable to us—let us know your thoughts, suggestions, or any challenges you face in the Ultralytics GitHub [Discussions](https://github.com/ultralytics/ultralytics/discussions) or by opening an Issue.

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Thank you for being part of the YOLO and Ultralytics community! These updates would not be possible without your support and contributions. 🙌