pt/modes/val/

[giscus[bot]]

pt/modes/val/

Saiba como validar o seu modelo YOLO11 com métricas precisas, ferramentas fáceis de utilizar e definições personalizadas para um desempenho ótimo.

https://docs.ultralytics.com/pt/modes/val/

[UltralyticsAssistant]

👋 Hello, 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. For specific information on validation, check out the Validation Docs that you’ve linked!

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

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples, validation strategies, and logs, and ensure you're adhering to our Tips for Best Training Results.

Join the Ultralytics community where it suits you best. For real-time chat, head to Discord 🎧. Prefer in-depth discussions? Check out Discourse. Or engage with others on our Subreddit and share knowledge with the community.

Upgrade

Upgrade to the latest ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8 to verify your issue is not already resolved in the latest release:

pip install -U ultralytics

Environments

YOLO can be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• 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

Status

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLO Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

This is an automated response 🛠️, but an Ultralytics engineer will assist you soon! 😊