# New Release: Ultralytics v8.3.75

**URL:** https://community.ultralytics.com/t/new-release-ultralytics-v8-3-75/769
**Category:** Discussion
**Tags:** announcements, ultralytics-official, releases
**Created:** [February 13, 2025, 1:21pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-75/769 "2025-02-13T13:21:24Z")
**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: [February 13, 2025, 1:21pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-75/769/1 "2025-02-13T13:21:24Z")

</div>

**🌟 Announcing Ultralytics v8.3.75: Reliable Improvements at Scale!**

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### 🚀 **Summary**

We’re thrilled to introduce version **v8.3.75** , a feature-packed release that enhances model export compatibility, platform reliability, and user experience while refining documentation and adding practical new solutions. Dive into the details below, and don’t hesitate to try it out and share your thoughts with us!

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### 📊 **Key Changes**

#### **Enhanced CometML Integration**

- Transitioned to the new `comet_ml.start()` API for more reliable and streamlined experiment tracking.
- Deprecated the `COMET_MODE` variable, introducing `COMET_START_ONLINE` for better consistency and usability.  
[Contributed by @yaricom](https://github.com/ultralytics/ultralytics/pull/19187)

#### **Export Function Updates**

- **Protobuf Dependency** : Enforced `protobuf>=5` for TensorFlow and TFLite exports, addressing prior compatibility issues.  
[Contributed by @Y-T-G](https://github.com/ultralytics/ultralytics/pull/19206)
- **Edge TPU and TF.js** : Addressed Linux (ARM64) export issues to detect unsupported configurations upfront.  
[Contributed by @lakshanthad](https://github.com/ultralytics/ultralytics/pull/19154)

#### **Documentation Enhancements**

- Improved SAM auto-annotation and YOLOv8 content for more clarity.  
[Contributed by @Y-T-G](https://github.com/ultralytics/ultralytics/pull/19156), [@LexBarou](https://github.com/ultralytics/ultralytics/pull/19182)
- Redesigned inference examples using accessible public image URLs.  
[Contributed by @RizwanMunawar](https://github.com/ultralytics/ultralytics/pull/19203)

#### **New CLI Solutions**

- Added practical use cases such as object counting, workout monitoring, queue analysis, and browser-based inference using Streamlit.  
[Contributed by @RizwanMunawar](https://github.com/ultralytics/ultralytics/pull/19160)

#### **Benchmarking Models**

- Introduced performance metrics for selecting object detection models like Gold-YOLO, YOLO-NAS, and RTDETRv3.  
[Contributed by @Laughing-q](https://github.com/ultralytics/ultralytics/pull/19176)

#### **Windows-Specific Fix**

- Resolved an async issue with `np.save`, increasing file caching reliability on Windows.  
[Contributed by @eric80739](https://github.com/ultralytics/ultralytics/pull/19218)

#### **Improved Timing Precision**

- Adopted `time.perf_counter()` for more accurate latency measurements during training and benchmarking.  
[Contributed by @Y-T-G](https://github.com/ultralytics/ultralytics/pull/19177)

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### 🎯 **Purpose & Impact**

- **Streamlined Integrations** : Improved CometML tracking for smoother experiments and logging.
- **Reliable Exports** : Ensuring TensorFlow and TFLite workflows are future-proof and platform-safe.
- **Optimized Usability** : Enhanced CLI solutions and improved documentation simplify onboarding for all users.
- **Cross-Platform Support** : Bug fixes ensure consistency, whether you’re on Windows, Linux, or ARM64.
- **Informed Decisions** : New benchmarking metrics empower users to identify the best model for their needs without guesswork.

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### 🌟 **Contributions**

A huge thanks to everyone who contributed to this release!

- **New Contributors** :

- **Highlighted PRs** :

You can learn more about the changes in the [full changelog](https://github.com/ultralytics/ultralytics/compare/v8.3.74...v8.3.75).

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### 🔗 **Try It Out**

- **Installation/Update** : Simply use `pip install ultralytics --upgrade` to get started.
- **Feedback** : Have suggestions or encountered an issue? Join the discussion or open an issue right [here](https://github.com/ultralytics/ultralytics).

We’re eager to hear how these updates improve your workflows and projects! Together, let’s continue pushing the boundaries of computer vision. 🚀