Instance Segmentation Dataset preparation | Yolo11 Instance Segmentation

In this video, you will learn how to prepare a dataset for Instance Segmentation for models like YOLOv5, YOLOv7, YOLOv8, and YOLO11. This is a complete step-by-step tutorial, where we first annotate images using LabelMe, and then convert those annotations into YOLO Instance Segmentation format. This video is beginner-friendly and perfect for anyone working on image segmentation, AI projects, or custom dataset creation. 🔥 What You Will Learn ✔ How to annotate images for segmentation using LabelMe ✔ Mask-based polygon annotations ✔ Folder structure for segmentation datasets ✔ Convert LabelMe JSON files to YOLO format ✔ Prepare training-ready segmentation dataset ✔ Common mistakes & best practices 🔗 GitHub Repository Download JSON to YOLO conversion code: https://github.com/codewithaarohi/Json-to-YOLO-conversion 📧 Contact For queries, help, or collaboration: Email: aarohisingla1987@gmail.com #instancesegmentation #yolo11 #yolo #labelme #segmentationdataset #computervision #machinelearning #deeplearning #ai #datasetpreparation #yolov8 #yolov5 #yolov7