Train a YOLOv11 Model with Custom Data

Launched on September 27, 2024, YOLOv11 is a computer vision model that you can use for a wide variety of tasks, from object detection to segmentation to classification. According to Ultralytics, “YOLO11m achieves a higher mean Average Precision (mAP) score on the COCO dataset while using 22% fewer parameters than YOLOv8m”. In this guide, we are going to walk through how to train a YOLOv11 object detection model with a custom dataset.