Ultralytics YOLOv8: The State-of-the-Art YOLO Model

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Welcome to the future of computer vision with Ultralytics YOLOv8! 🚀 In this video, Glenn Jocher, founder of Ultralytics and author of YOLOv5, introduces YOLOv8—the latest advancement in the YOLO series. This state-of-the-art model brings groundbreaking improvements in object detection, classification, and segmentation, making it faster, more accurate, and easier to use than ever before.

Glenn discusses how YOLOv8 builds on the success of previous YOLO models while incorporating new features to enhance performance and flexibility. With YOLOv8, you can tackle a wide range of computer vision tasks effortlessly. Whether you're working on image segmentation, object detection, or classification, YOLOv8's streamlined workflows and spotless code make it the go-to choice for AI developers and researchers.

Highlights of the video include:
- Performance Enhancements: YOLOv8 is faster and more accurate, providing smaller models that deliver exceptional results.
- Ease of Use: Simplified usage makes YOLOv8 the easiest YOLO model to train and deploy, perfect for both beginners and experts.
- New Features: Improved workflows and flexible solutions for diverse object detection needs.

Don't miss the chance to see YOLOv8 in action and experience the power of AI in your projects. Show your support by starring the YOLOv8 repository on GitHub!

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#YOLOv8 #Ultralytics #ComputerVision #AI #MachineLearning #DeepLearning #ObjectDetection #ImageSegmentation #AIInnovation
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Glenn, you have provided really awesome introduction to YOLOv8. Great work @ultralytics Team!
looking forward to new updates! 👏

muhammadrizwanmunawar
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Really exciting news, can't wait to try this new release.

bigkingextra
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The Google Colab for Yolov5 was so well done, I am looking forward to seeing what Google Colab Notebook you guys made for Yolov8, I'm particulalry looking forward to training on a custom dataset again!

Keep up the great work!

CrazyFanaticMan
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Ultralytics YOLOv8 looks amazing, but I'm curious—how does it handle detecting objects in highly cluttered scenes compared to YOLOv5? Any interesting challenges or breakthroughs there?

m
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Hey, what is the eerie masking done by the video, is it done by the ai?

warrenarnold
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Smooth explanation!! Thanks. Just wondering, is it only for object detection? Or I can use it for satellite/ aerial images. I am working on a project that detects damages to buildings.

rezwan-ul-alam
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Thanks for developing yolo, Glenn. 👍
BTW, looks like you get panda eyes. I think you need to sleep.😴

IchSan-jxeg
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In a world where speed and precision drive innovation, YOLOv8 emerges as a beacon—could you delve into the potential real-world impacts this model might have on industries like healthcare or autonomous driving? Additionally, what are the ethical considerations we should keep in mind when deploying such advanced AI systems?

LunaStargazer-vs
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Incredible Work!I will update it from yolov5 if possible

ElinLiu
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I did a comparison between Yolov5 and Yolov8 using the same training set. Somehow, Yolov5 still perform better than Yolov8 at object detection.

yeongnamtan
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Congrats, FYI works better on line detection

christos.