Closed zhoujiawei3 closed 1 year ago
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We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!
Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.
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@zhoujiawei3 the calculation of precision (P) in YOLOv5's metrics is not based on the PASCAL VOC criteria. The specific rule used for calculating precision in YOLOv5 can be found in the Ultralytics team's implementation.
If you have any further questions or need more information, feel free to ask.
@glenn-jocher Thanks for your answer!In the Ultralytics team's implementation, they choose the confidence which can let F1 be the maximum to decide the value of the precision to print. I really want to know whether the specific rule used for caluculating precision in YOLO is a generic approach in object detection area? Or this is your own way to get the value of precision. I ask this because I see P@0.5 in some papers, but they don't tell the details about how to caluculate it.
And I also want to know whether the calculation of mAP@0.5 in YOLOv5's metrics is based on the PASCAL VOC criteria. Really thanks for your help!!!!
@zhoujiawei3 The specific rule used for calculating precision in YOLOv5's metrics is not a generic approach in the object detection area. It is an implementation choice made by the Ultralytics team to optimize the maximum F1 score. The calculation of precision in YOLOv5 is not directly comparable to other metrics like P@0.5 mentioned in some papers.
Regarding mAP@0.5 in YOLOv5's metrics, it is not based on the PASCAL VOC criteria. The calculation of mAP in YOLOv5 is also different from the conventional PASCAL VOC mAP. The exact formula used for calculating mAP in YOLOv5 can be found in the Ultralytics team's implementation.
I hope this clarifies your doubts. If you have any more questions or need further assistance, please let me know.
really thanks !!! Your explanation help me a lot !
@zhoujiawei3 you're welcome! I'm glad I could help. If you have any more questions or need further clarification, feel free to ask.
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When I run val.py, I can get P,R,map@50,map@0.5-0.95。I want to know is the rule of calculating P from PASCAl VOC?If it isn‘t,where is the rule from
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