ko/modes/train/

[giscus[bot]]

ko/modes/train/

설정, 증강 및 하드웨어 활용에 대한 포괄적인 지침이 포함된 YOLO11 을 사용하여 객체 감지 모델을 효율적으로 훈련하는 방법을 알아보세요.

https://docs.ultralytics.com/ko/modes/train/

[UltralyticsAssistant]

👋 Hello, thank you for bringing this up and for your interest in Ultralytics 🚀! It looks like you’re exploring model training with YOLO, which is fantastic 🎉.

We recommend checking out the Docs, which provide comprehensive insights into training your object detection models with YOLO, including setups, augmentation options, and hardware utilization tips.

If this is a 🐛 Bug Report, please make sure to provide a minimum reproducible example to help us investigate the issue promptly.

If it's a custom training ❓ Question, sharing additional details such as dataset examples and training logs will help us better assist you. You can also review our Tips for Best Training Results to ensure you’re following best practices.

Community and Resources

Feel free to join the Ultralytics community:

• For live discussions, hop into Discord 🎧.
• Prefer threaded conversations? Visit Discourse.
• Engage with the community on our Subreddit.

Upgrade Ultralytics

Ensure you’re using the latest version of the package for the best experience. You can upgrade as follows:

pip install -U ultralytics

Verified Environments

You can train YOLO in multiple verified environments:

• Notebooks with free GPU:
• Google Cloud Deep Learning VM: GCP Quickstart Guide
• Amazon Deep Learning AMI: AWS Quickstart Guide
• Docker Image: Docker Quickstart Guide

CI Status

This badge indicates the current status of Ultralytics CI, which runs continuous integration tests across all major OSes and modes to ensure everything works seamlessly 🔧.

Let us know if you have any additional details or questions to share. An Ultralytics engineer will also assist you further soon 😊.