👋 Hello @ZZxiaoxiao, thank you for your interest in Ultralytics 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

If this is a 🐛 Bug Report or concerns reproducibility issues, we encourage you to provide a minimum reproducible example to help us better understand and debug the problem. This could include your training script, specific parameters used, and dataset details.

If you are seeking ❓ clarification on training settings or augmentation methods, it would be helpful to share the exact YAML configuration file you are using, along with relevant training logs or outputs. Please also verify that you are following our Tips for Best Training Results.

For exploring tasks like COCO benchmark performance and settings, upgrading to the latest ultralytics version is often beneficial to ensure you are using the most recent updates. You can do this with:

pip install -U ultralytics

YOLO models operate seamlessly in verified environments. You can run them effortlessly in any of the following:

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

The community is full of experts and enthusiasts who can assist you in your exploration of the COCO reproduction tasks! For real-time discussions, join us on Discord 🎧. For more in-depth threads, participate in discussions on our Discourse forums or Subreddit.

Status

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLO Modes and Tasks across macOS, Windows, and Ubuntu.

This is an automated response to help streamline support 🛠️. An Ultralytics engineer will review your question and provide further assistance soon. 😊