YOLOV8: Instance Segmentation Annotation | Annotate Custom Data using Roboflow

Welcome to our YouTube video on YOLO V8 instance segmentation annotation, where we will guide you through the process of annotating custom data for improved object detection and segmentation.

In this video, we delve into the powerful YOLO V8 (You Only Look Once Version 8) framework, which combines object detection and instance segmentation techniques to provide accurate and efficient results.

Whether you are a computer vision enthusiast, a machine learning practitioner, or someone interested in image analysis, this tutorial is designed to help you understand the fundamentals of instance segmentation annotation using YOLO V8.

Throughout the video, we provide step-by-step instructions on how to annotate custom data for instance segmentation. We begin by explaining the concept of instance segmentation and its significance in various applications.

Next, we demonstrate the annotation process using RoboFlow. We walk you through the annotation workflow, showing you how to identify individual instances, draw polygons around them, and accurately label each object category.

By the end of this video, you will have a comprehensive understanding of YOLO V8 instance segmentation annotation and the necessary skills to annotate your own custom data.

Don't miss out on this informative tutorial! Hit the play button now and dive into the exciting world of YOLO V8 instance segmentation annotation. Remember to subscribe to our channel for more insightful videos on computer vision and machine learning. Happy annotating!