Learn step-by-step how to train the Ultralytics YOLOv8 model using your custom dataset!

Train your own custom object detection model with Ultralytics YOLOv8! 🚀 In this video, we'll guide you through each step of the process, from setting up your environment to labeling data with your preferred tool. Learn how to export your data into the YOLOv8 format and import it into a Colab notebook for seamless training. Perfect for both beginners and pros looking to harness the power of AI and computer vision.

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#YOLOv8 #Ultralytics #AI #MachineLearning #ComputerVision #ObjectDetection #CustomDataset #ColabNotebook

[AxelRyder-qb]

Yo, this video is FIRE!!! Question though: how does training YOLOv8 on a custom dataset stack up against just using pretrained models? Like, do you get super noticeable gains, or is it overhyped? Also, any tips on dealing with super noisy data? Let’s chat!

[os-EmilyW]

This tutorial lays out the fundamentals with an adept touch, but I'm curious—what are the potential pitfalls in fine-tuning YOLOv8 on highly imbalanced datasets? Could this inadvertently introduce bias, or are there best practices we should employ to mitigate such risks?

[m]

Great tutorial! Can anyone share tips on dealing with overfitting when training YOLOv8 with small datasets? Also, has anyone found a clever way to augment their data to get better results?