YOLOv8 vs YOLOv9 vs YOLO11: First Project Pick Guide

#yolo #objectdetection #computervision #yolov8

Start with YOLOv8, Not the Newest Version

YOLO11 is newer. YOLO11 has higher mAP on COCO. So obviously you should use YOLO11 for your first object detection project, right?

Wrong. I'd pick YOLOv8 for most beginners, and here's why: the tutorial ecosystem around v8 is massive, the ultralytics package is battle-tested with that version, and the performance delta only matters if you're already squeezing every point of accuracy. For a first project — whether that's counting people in a retail store, detecting defects on a production line, or building a parking spot monitor — the difference between 52.1 mAP and 53.9 mAP is invisible compared to the pain of debugging an unfamiliar API with sparse Stack Overflow answers.

But that doesn't mean v9 and v11 are useless. Let's look at what actually changed, what the benchmarks hide, and when you'd genuinely benefit from the newer architectures.