fr/models/yolo11/

[giscus[bot]]

fr/models/yolo11/

Découvrez YOLO11, la dernière avancée en matière de détection d'objets de pointe, qui offre une précision et une efficacité inégalées pour diverses tâches de vision par ordinateur.

https://docs.ultralytics.com/fr/models/yolo11/

[abaldanz]

Hi, team. I would like to train a yolov11 from scratch on the COCO database (the idea is to have a pre-train model on imgsz=1280). I just wanted to know what parameters you usually use to train models from scratch on large databases like COCO?

Thank you very much!

[glenn-jocher]

@abaldanz to train YOLO11 from scratch on the COCO dataset with imgsz=1280, you can use the train mode with a configuration like yolo train model=yolo11n.yaml data=coco.yaml epochs=300 imgsz=1280. Adjust hyperparameters like batch_size, learning_rate, and optimizer based on your hardware and dataset. For detailed guidance, see the Train documentation.

[abaldanz]

Thanks! I read in a thread on your GitHub repo that you might be releasing a train version of yolov11x on 1280 images. Do you have an approximate date for this ?

[glenn-jocher]

We don't have an official release date for YOLOv11x-1280 models yet. For updates, please watch our GitHub repository where new releases are always announced first: https://github.com/ultralytics/ultralytics.

[UltralyticsAssistant]

👋 Hello, thank you for your interest in Ultralytics and YOLO11 🚀! We recommend checking out the Ultralytics Docs to get started, where you'll find detailed information on models like YOLO11, as well as many Python and CLI usage examples.

If you are raising a 🐛 Bug Report or have encountered specific issues, please provide a minimum reproducible example to help us understand and debug the problem effectively.

For ❓ Questions, especially regarding custom training, make sure to include comprehensive details such as dataset image examples, training logs, and verification that you're following our Tips for Best Training Results.

Join the Ultralytics community and connect with others! For real-time conversations, visit us on Discord 🎧. For detailed discussions, you can head over to our Discourse. Prefer Reddit-style threads? Explore ideas on our Subreddit.

Upgrade

Ensure you're running the latest version of the ultralytics package by upgrading in a Python>=3.8 environment with PyTorch>=1.8:

pip install -U ultralytics

Environments

YOLO models, including YOLO11, can be seamlessly run in the following verified environments with all required dependencies installed:

• Notebooks (free GPU access):
• Google Cloud Deep Learning VM: See GCP Quickstart Guide
• Amazon Deep Learning AMI: See AWS Quickstart Guide
• Docker Image: See Docker Quickstart Guide

Status

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This is an automated response to guide you in the right direction, but don't worry 😊—an Ultralytics engineer will follow up soon to assist further!