An Introduction to YOLO26
blog.roboflow.com
An Introduction to YOLO26
1–10 of 38 posts
Re: An Introduction to YOLO26
#2I am curious why there is no desire to produce a paper showcasing key details.
Re: An Introduction to YOLO26
#3We'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.
Re: An Introduction to YOLO26
#4We'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.
The original YOLO author has long quit due to ethical reasons.
Re: An Introduction to YOLO26
#5Ive 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.
Re: An Introduction to YOLO26
#6With 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?
Re: An Introduction to YOLO26
#7We'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.
When I was working with YOLO models it did seem like there was little practical improvements were between all of the spinoff models. It seemed people were pushing new models for personal recognition since the original creator stopped working on it.
That said, many of the claimed improvements in this model were are efficiency related.
Re: An Introduction to YOLO26
#8I 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.
Re: An Introduction to YOLO26
#9I am curious why there is no desire to produce a paper showcasing key details.
Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models:
Re: An Introduction to YOLO26
#10We'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.
The original YOLO author has long quit due to ethical reasons.
Despite having a very memorable paper on the topic I believe they now work at Ai2.