Conversion of evaluation indicators from yolov8-seg to coco evaluation indicators #18379
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👋 Hello @handsome2456, 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, please provide a minimum reproducible example to help us debug it. If this is a custom training or evaluation ❓ Question, please provide as much information as possible, including your current setup, configuration settings, and any relevant logs. Additionally, ensure you are following our segmentation-specific training and evaluation tips to achieve the best 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 dive into threads on our Subreddit to share knowledge with the community. UpgradeMake sure you are using the latest version of the pip install -U ultralytics EnvironmentsYOLOv8-seg can be used in any of the following up-to-date verified environments (with CUDA/CUDNN, Python and PyTorch preinstalled):
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@handsome2456 to evaluate YOLOv8-Seg models using COCO metrics, you can use the |
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I would like to ask yolov8-seg how to print coco evaluation indicator?
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