An Introduction to YOLO26

Wow I'm old, I still remember working with YOLOv2.

We've been running YOLO for a number of years (since v5) on soccer videos. None of the recent iterations have been significantly better, with v26 scoring worse then v9 and v11 on our tasks. Makes me wonder why this version is being pushed by roboflow and ultralytics.

I found that while CLIPSeg is slower than YOLOn, it is still pretty fast and if gave me much much better results without training.

If you want to detect objects and speed is important so you can’t use a LLM architecture, you can give it a try too.

With some previous versions of YOLO I‘ve found pages that run it in real-time locally on your browser, analyzing the webcam.

Is there a demo like that available for YOLO26?

I am curious why there is no desire to produce a paper showcasing key details.

Ive used YOLO26 in one of my projects, It was very easy to train on our custom dataset and also very easy to deploy even on rust with AVX2 support. This model is indeed fast and can be used for almost real time inference.