Comments (5)
Hello! Thank you for checking the documentation. It seems the specific benchmark details you're looking for might not have been updated yet in the documentation for YOLOv8.2. I recommend keeping an eye on the official GitHub repository for the latest updates and release notes, which typically include detailed benchmark metrics like model size, mAP values, and inference speeds across different platforms.
If you need immediate specifics, you might consider running some preliminary benchmarks using the latest model version in your environment. This could provide a direct insight into how the updates impact performance metrics such as parameter size, mAP, and inference speeds.
Let me know if there's anything else I can help with! 😊
from ultralytics.
Hello! Thank you for reaching out with your question.
Yes, with each update to the YOLOv8 models, including the transition from YOLOv8.1 to YOLOv8.2, the benchmark metrics are typically updated to reflect performance changes. These updates ensure that the benchmarks accurately represent the improvements or modifications made in the latest version of the model.
For the most current benchmark results and details on how they may have changed with YOLOv8.2, I recommend checking the latest documentation and release notes associated with the new model version.
If you have any more questions or need further assistance, feel free to ask. Happy coding!
from ultralytics.
Thanks a lot for clarification.
But after updates there is an image like one above that clarify how for example yolov8.2 will a fected with those updates like size in parameter, mAPval, speed cpu onnx ....etc
from ultralytics.
BTW I checked the documentation but I didn't find what I need as numbers like what in image above
from ultralytics.
👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.
For additional resources and information, please see the links below:
- Docs: https://docs.ultralytics.com
- HUB: https://hub.ultralytics.com
- Community: https://community.ultralytics.com
Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!
Thank you for your contributions to YOLO 🚀 and Vision AI ⭐
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