ar/usage/engine/

[giscus[bot]]

ar/usage/engine/

تعلم كيفية تخصيص YOLO11 Trainer لمهام محددة. تعليمات خطوة بخطوة مع أمثلة Python لتحقيق أقصى أداء للنموذج.

https://docs.ultralytics.com/ar/usage/engine/

[UltralyticsAssistant]

👋 Hello, thank you for your interest in Ultralytics 🚀! We're thrilled to see your exploration of YOLO11 and the steps to customize the Trainer for specific tasks. For starters, definitely take a look at our Docs in Arabic for region-specific resources and detailed guidance.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it effectively.

For custom training or setup ❓ Questions, be sure to include as many details as possible, such as dataset examples, relevant code snippets, and logs, and refer to our Tips for Best Training Results to maximize your model's performance.

Join the vibrant Ultralytics community, where you can interact with others and get real-time assistance:

• Discord 🎧 for instant collaboration.
• Discourse for more comprehensive discussions.
• Subreddit for sharing and engaging with peers.

Upgrade

Ensure you're using the latest ultralytics package by upgrading it along with all necessary requirements in a Python>=3.8 environment and PyTorch>=1.8:

pip install -U ultralytics

Environments

YOLO11 can be run seamlessly in the following verified environments, all preset with dependencies like CUDA/CUDNN, Python and PyTorch:

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

Status

If this badge is green, all Ultralytics CI tests are passing. CI runs daily to ensure functionality across all YOLO Modes and Tasks on macOS, Windows, and Ubuntu.

This is an automated response to help get you started 😊. An Ultralytics engineer will follow up with further assistance shortly!