How to Train YOLOv8 Instance Segmentation on a Custom Dataset

RF-DETR Segmentation, launched in October 2025, sets a new benchmark in instance segmentation by outperforming the largest YOLO11 model in speed and accuracy on the Microsoft COCO Segmentation benchmark. The blog post elaborates on using Roboflow and YOLOv8 Instance Segmentation to enhance workflows in object detection, segmentation, and classification tasks, highlighting YOLOv8's precision and real-time performance. It provides a comprehensive guide on training a YOLOv8 model using a custom dataset, specifically a car parts dataset, and demonstrates applications in autonomous vehicle systems, car repair, and manufacturing quality control. The post details the process of preparing custom datasets using Roboflow, training the YOLOv8 model, and deploying it back to Roboflow for practical use, emphasizing the importance of dataset quality for successful image analysis.