YOLOv8 Segmentation on Custom Dataset (Medical Image Segmentation)
Last Updated on November 17, 2023 by Editorial Team
Author(s): Sumit Pandey
Originally published on Towards AI.
image by Author from [Dall-e]
YOLOv8 is an amazing segmentation model; its easy to train, test and deploy. In this tutorial, we will learn how to use YOLOv8 on the custom dataset. But before that, I would like to tell you why should you use YOLOv8 when there are other excellent segmentation models? Letβs start with my story.
I was working on a project related to medical image segmentation when my collaborator dropped a bombshell by saying that we had only 600 images and masks from 175 patients. In medical imaging, itβs a common problem because clinicians/doctors are the busiest people, and… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming aΒ sponsor.
Published via Towards AI