# New Release: Ultralytics v8.3.176

**URL:** <https://community.ultralytics.com/t/new-release-ultralytics-v8-3-176/1328>\
**Category:** Discussion\
**Tags:** ultralytics-official, releases, announcements\
**Created:** [August 8, 2025, 1:16pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-176/1328 "2025-08-08T13:16:50Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**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:** [August 8, 2025, 1:16pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-176/1328/1 "2025-08-08T13:16:50Z")

</div>

# 🚀 Ultralytics v8.3.176 Release: Major Experiment Tracking, Deployment, and Internals Upgrades!

## 🌟 Summary

We’re excited to announce the release of **Ultralytics v8.3.176**! This version brings enhanced experiment traceability with Comet ML, streamlined YOLOE export and class handling, a core tracking refactor for cleaner code and future flexibility, plus a brand new CoreML tutorial for faster YOLO11 deployment on Apple devices. No breaking changes—just a smoother, more productive workflow for everyone!

Get the details below and see how these updates can help you track, deploy, and iterate faster.

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## 📊 New Features & Improvements

### Comet ML Integration (Priority)

- **Automatic results logging** : `results.csv` and `args.yaml` artifacts are now automatically logged to Comet ML at the end of training for **Detect** and **OBB (oriented bounding box)** models, improving reproducibility and sharing.
- **Enhanced asset/table logging** : New helpers for logging assets and tables, plus improved plot logging and code clarity for detection/OBB experiments.

[Comet Integration PR by @yaricom](https://github.com/ultralytics/ultralytics/pull/21613)

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### YOLOE Export and Class-Handling

- **Export-only fusion** : Prompt embeddings for YOLOE are now fused only during export (not during general fuse steps), making model exports more robust.
- **Flexible class assignment** : You can now set new classes even after fusing, lifting previous restrictions for YOLOE models.

[YOLOE PR by @Laughing-q](https://github.com/ultralytics/ultralytics/pull/21608)

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### Unified Tracking Internals

- **Unified Results object** : Both BOT-SORT and BYTETracker now use a unified Results object for initializing and updating tracks, replacing previous per-array logic.
- **Cleaner, more maintainable code** : Duplicate code is removed, consistency improved, and future tracking enhancements become easier—no changes to typical user APIs.

[Results Object for Tracker PR by @Laughing-q](https://github.com/ultralytics/ultralytics/pull/21536)

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### Documentation Update: CoreML Video Tutorial

- **Faster Apple deployments** : The [CoreML guide now includes a YouTube tutorial](https://youtu.be/hfSK3Mk5P0I) demonstrating how to export YOLO11 for up to 2x faster inference on iOS/macOS devices—speed up your Apple workflows now!

[CoreML Video Docs PR by @RizwanMunawar](https://github.com/ultralytics/ultralytics/pull/21607)

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## 🎯 Why This Matters

- **Better experiment traceability** : Automatic metric/config logging to Comet ML enables more transparent, reproducible, and shareable experiments.
- **Smoother YOLOE deployment** : Reduced fusion-related errors during export and easier class customization streamline advanced YOLOE use cases.
- **Cleaner tracking code** : A unified batch results approach future-proofs tracker integrations and extensions, while minimizing bugs.
- **Accelerated Apple device workflows** : New CoreML resources help you deploy YOLO11 on iOS/macOS devices faster than ever.

No expected breaking changes; most users should upgrade smoothly.

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## 🔗 What’s Changed (with PR and Author Links)

- [Add CoreML video tutorial to docs by @RizwanMunawar](https://github.com/ultralytics/ultralytics/pull/21607)
- [YOLOE: Scope prompt embedding fuse to export process by @Laughing-q](https://github.com/ultralytics/ultralytics/pull/21608)
- [Use Results object to filter candidates for tracker by @Laughing-q](https://github.com/ultralytics/ultralytics/pull/21536)
- [Comet integration improvements for YOLO Detect and OBB models by @yaricom](https://github.com/ultralytics/ultralytics/pull/21613)

**Full Changelog** : [Compare v8.3.175…v8.3.176](https://github.com/ultralytics/ultralytics/compare/v8.3.175...v8.3.176)  
**Full Release Details** : [Ultralytics v8.3.176 Release Page](https://github.com/ultralytics/ultralytics/releases/tag/v8.3.176)

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## 🙌 How to Upgrade & Get Involved

Update with:

```bash
pip install --upgrade ultralytics

```

We encourage you to try out the new features, especially the Comet ML integration and YOLOE export/class improvements! Watch the new CoreML tutorial to optimize your Apple device deployments.

Your feedback is invaluable—share your thoughts, issues, or ideas in the comments below or on [Ultralytics Discussions](https://github.com/orgs/ultralytics/discussions). This release, like all progress, is thanks to the community and the dedicated Ultralytics team—thank you for being a part of it!