Object Detection Using YOLOv8.

In this tutorial, you will learn how to run the YOLOv8 object detection algorithm in your preferred Integrated Development Environment (IDE). YOLOv8 is a state-of-the-art real-time object detection system that uses deep learning to detect objects in images and videos. By the end of this tutorial, you will have a clear understanding of how to set up and configure YOLOv8 in your IDE, how to run object detection on test images, and how to fine-tune the model to improve its accuracy. Whether you're a beginner or an experienced computer vision researcher, this tutorial will provide you with the tools and knowledge you need to get started with YOLOv8 in your IDE.
Link to code:github.com/Tech-Watt/KZbin-...
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[@setzer2897]

You are awesome my man, just saw the post in Linkedin! I will watch the tutorial it is something I've been looking for quite a while :D

[@tech_watt]

Thanks for your input am more than glad to hear that am solving problems

[@oluwatomisinisogun]

Can VS code also be used as an IDE for object detection models instead of Pycharm?

[@tech_watt]

Yes pls ✅

[@shanmukhadari4549]

is the pre trained file present to download or you need to train your model

[@tech_watt]

When you run the code for the first time it will automatically download the pre trained model. Make sure you’re connected to active internet connection.

[@yesdone4993]

Can you speak loud....It is very low voice coming... Thank you

[@tech_watt]

Thanks very much for your feedback. I will definitely improve on that.

[@fasnamfd]

is this vs code?

[@tech_watt]

Am using pycharm

[@fasnamfd]

@@tech_watt thank you