What's New in YOLOv8 | Model Deep Dive

preview_player
Показать описание
On January 10th, 2023, Ultralytics launched YOLOv8, a new state-of-the-art model for object detection and image segmentation. YOLOv8 also has out-of-the-box support for image classification.

Join us in this video to dive deep into what YOLOv8 is, how it works, and how it compares to previous YOLO models.

Resources

Рекомендации по теме
Комментарии
Автор

Great job as usual. Very informative! CLI is clutch, can't wait for the roboflow ultralytics hub for V8 aswell!

shanep
Автор

Hi, I really enjoy your contributions, thank you very much for that.
I would like to ask, with this model how can I save the detections made in an inference in a text file? the --save-txt command does not work and I see that the detect.py file is not used.
I would be very grateful for your answer
Best regards!

israelgaytan
Автор

Thank you for sharing. I have question about results of YOLOv8 model, after the training of the model it results in a 3-dimensional confusion matrix taking the background as a class knowing that I have a binary classification my project is classification of preforms whether it is defect or not. What can be the raisaon of appearance of this class "backgroud" and how I can solve it ? if you help me I would be grateful.

hajerbettayeb
Автор

is the architecture very different from yolov7? would you have a comparison of yolov5, 7, 8?

nkirukauzuegbunam
Автор

Where can I try the basketball model myself?

TheBradleydwyer
Автор

"Python better than C"..that was the moment he knew he up ;-)

frankoptis
Автор

"obviously, Python is better than C"

Should I assume the credibility of the rest of the video and the roboflow-blog to be similarly bad, or was this a one-time blunder?

markuskreutz
Автор

"Python better than C"..please no :)

AlbertoZolezzi-bvpd