# New Release: Ultralytics v8.3.58

**URL:** <https://community.ultralytics.com/t/new-release-ultralytics-v8-3-58/661>\
**Category:** Discussion\
**Tags:** ultralytics-official, releases, announcements\
**Created:** [January 6, 2025, 1:22pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-58/661 "2025-01-06T13:22:19Z")\
**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:** [January 6, 2025, 1:22pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-58/661/1 "2025-01-06T13:22:19Z")

</div>

# 🚀 Ultralytics v8.3.58 Release Announcement

We’re excited to announce the release of **Ultralytics v8.3.58** , packed with updates to help you optimize performance, streamline workflows, and leverage new features for improved usability. With updates in model benchmarking, documentation, and training, this release is for developers and users looking to refine and accelerate their AI implementations. 🎉

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## 🌟 Summary

The **v8.3.58** release brings:

- TensorRT benchmarking improvements for classification models.
- New training options for dynamic image sizes.
- Documentation upgrades with embedded videos and refined integration guides.
- Optimized Docker builds for faster and leaner environments.

Let’s dive in!

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## 📊 Key Changes

### TensorRT Model Benchmarking Update

Benchmarking for TensorRT models now uses **`uint8` (integer)** input data instead of `float32` (decimal) for classification tasks. This change ensures alignment with real-world input formats, providing more accurate performance metrics for TensorRT users. 🏎

### Documentation Enhancements

1. **Embedded Video Tutorials** :

2. **YOLO11 Integration Updates** :

3. **`Multi-Scale` Training Argument** :

### Docker Optimization

A `.dockerignore` file has been introduced to reduce build size by excluding unnecessary files. This streamlines Docker image builds, improving both build times and security. 🐋

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## 🎯 Purpose & Impact

### Purpose:

- Optimize **TensorRT benchmarking** for realistic input data.
- Enhance **user experience** with better instructional clarity and precise documentation.
- Enable new **training flexibility** with dynamic image size options.
- Secure and streamline **Docker deployments** for efficiency.

### Impact:

- Faster and more accurate benchmarks for TensorRT users.
- A smoother learning curve for both beginners and advanced users with improved documentation.
- Flexible training with multi-scale options to handle diverse datasets effectively.
- Leaner Docker images for clean and secure deployments.

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## 🔥 What’s Changed

Here’s a breakdown of the key changes included in this release:

- **Instructional Video Addition** : Added a YouTube tutorial to the docs by [@RizwanMunawar](https://github.com/RizwanMunawar) in [#18507](https://github.com/ultralytics/ultralytics/pull/18507).
- **TensorRT Guide Update** : Replaced YOLOv8 references with YOLO11 in the TensorRT integration guide by [@RizwanMunawar](https://github.com/RizwanMunawar) in [#18513](https://github.com/ultralytics/ultralytics/pull/18513).
- **New Training Argument** : Added the `multi_scale` argument for training models on dynamic image sizes by [@Y-T-G](https://github.com/Y-T-G) in [#18531](https://github.com/ultralytics/ultralytics/pull/18531).
- **Docker Improvement** : Introduced `.dockerignore` to reduce Docker image clutter by [@glenn-jocher](https://github.com/glenn-jocher) in [#18534](https://github.com/ultralytics/ultralytics/pull/18534).
- **TensorRT Profiling Update** : Updated TensorRT classification profiling to use `uint8` input by [@Laughing-q](https://github.com/Laughing-q) in [#18327](https://github.com/ultralytics/ultralytics/pull/18327).

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## 📝 Full Changelog

For a detailed overview of all code changes, please visit the [full changelog](https://github.com/ultralytics/ultralytics/compare/v8.3.57...v8.3.58).

🔗 Release URL: [v8.3.58](https://github.com/ultralytics/ultralytics/releases/tag/v8.3.58)

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We encourage you to explore this new release, test the updates, and provide feedback to help us shape future improvements! Your insights are invaluable to the YOLO community and the Ultralytics team. 💡

Happy experimenting, and thank you for being part of the YOLO journey! 🌟