Real-Time Object Detection using YOLOv8

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In this video, I will show you how to do real-time object detection using YOLOv8 that was trained on the COCO dataset. I will compare the performance of YOLOv8 with older YOLO models, discuss the precision (mAP) and how that is influenced by frame rate and number of parameters. Then I will show you how to code live demos comparing the smallest model YOLOv8n and the largest model YOLOv8x.

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Комментарии
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Now watching playlist of Computer Vision using AI.
I love watching your tutorials. ✨👩🏻‍💻

d_antisocial
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ok and the end of the day i can do it xd, , thanks for the video, but for the next pls share the github code haha

RonalRomeroVergel
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The hell man u should post the link of the source... if u are teaching give us the sources pls

RonalRomeroVergel
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Can you do automatic tracking in Yolo 8 for only one object?

qasimsayah
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Sir I had trained my model to detect human, drone, bird and car and then try on certain image its working but I am not able to connect camera or webcam of laptop to detect based on custom dataset how to do it ? and my custom dataset is too large so vs code gets hanged.

maahinpanchal
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Does yolo also provide spatial references of the object it detect ? like orientation.

j.mendoza
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or at least upload ur code there.... for giving us the exampke....

RonalRomeroVergel