YOLOv11
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Huddersfield University
- Organisation type
- Academia
- Country
- United Kingdom of Great Britain and Northern Ireland
- Published
- 23 October 2024
- Authors
- Rahima Khanam, Muhammad Hussain
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Vision
- Task
- Object detection
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
- Citations
- 2,604
Sources
Where this record came from and when it was last checked.
- Reference
- YOLOv11: An Overview of the Key Architectural Enhancements
- Last updated
- 25 May 2026
What the numbers mean
What this model is
YOLOv11 was published by Huddersfield University, in United Kingdom of Great Britain and Northern Ireland, in October 2024. academia is the category the publisher falls under.
It works in Vision, and is recorded as doing object detection.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
YOLOv11 — common questions
Who created YOLOv11?
YOLOv11 was published by Huddersfield University, based in United Kingdom of Great Britain and Northern Ireland, categorised as academia.
When was YOLOv11 released?
YOLOv11 was published in October 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is YOLOv11 used for?
YOLOv11 works in Vision, and is recorded as handling object detection. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
What GPU do I need to run YOLOv11?
None. YOLOv11 is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
Is YOLOv11 open source?
The licensing for YOLOv11 was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does YOLOv11 have?
No parameter count has been published for YOLOv11, which is why no memory or speed figure appears on this page.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.