No-code tutorial - train and predict YOLOv8 on custom data

The easiest way to get custom YOLOv8 model and deploy it with user-friendly interfaces in browser.

In this guide you will learn how to:
- Prepare custom training data.
- Train YOLOv8 on your computer with GPU.
- Deploy or export trained weights.
- Get predictions on your images.

Below are the main topics covered in this tutorial:

0:00 Introduction
0:19 Training data overview
1:07 Start the training process
2:30 Interactive training dashboard
9:33 Training artifacts
10:37 Deploy model
12:10 Get predictions inside the labeling tool
15:28 Apply model to all images at once
19:00 Conclusion

[AdiRosli]

I added agent using Amazon Linux GPU and the cluster show its running but it's not listed as Agent when I want to start using Neural Networks, why?

[kenanmorani]

Thank you for an interesting video and for introducing such an easy to use tool for Computer vision training and deployment from popular model architectures!

[otello]

If this is a shure mice - you need to speak in front of it, not to the side.