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github-actions avatar github-actions commented on June 20, 2024

๐Ÿ‘‹ Hello @111hyq111, thank you for your interest in Ultralytics YOLOv8 ๐Ÿš€! 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 ๐Ÿ› Bug Report, please provide a minimum reproducible example to help us debug it.

If this is a custom training โ“ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

Join the vibrant Ultralytics Discord ๐ŸŽง community for real-time conversations and collaborations. This platform offers a perfect space to inquire, showcase your work, and connect with fellow Ultralytics users.

Install

Pip install the ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.

pip install ultralytics

Environments

YOLOv8 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

Status

Ultralytics CI

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLOv8 Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

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glenn-jocher avatar glenn-jocher commented on June 20, 2024

Hello,

Thank you for reaching out and for checking the existing resources before posting your query.

It sounds like you're experiencing issues with large error margins in the bounding boxes during validation with YOLOv8 OBB. To better assist you, could you please provide a bit more detail:

  1. Sample Images or Outputs: If possible, share some examples where the predictions are significantly off.
  2. Model Configuration: Details about the model configuration and any specific parameters you've adjusted.
  3. Training Data: Information about the training dataset and whether the annotations might have inconsistencies.

These details will help us understand the issue more clearly and provide you with a more accurate solution.

Looking forward to your response!

from ultralytics.

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