Multiscale deformable part model
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
- UC Irvine,University of Chicago,Toyota Technological Institute at Chicago
- Organisation type
- Academia,Academia,Academia
- Country
- United States of America
- Published
- 23 June 2008
- Authors
- Pedro Felzenszwalb, David McAllester, Deva Ramanan
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
- 3,095
Sources
Where this record came from and when it was last checked.
- Reference
- A discriminatively trained, multiscale, deformable part model
- Last updated
- 1 January 2026
What the numbers mean
Background
Multiscale deformable part model was published by UC Irvine,University of Chicago,Toyota Technological Institute at Chicago, in United States of America, in June 2008. It comes out of academia,Academia,Academia.
It works in Vision, and is recorded as doing object detection.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
Multiscale deformable part model — common questions
Is Multiscale deformable part model open source?
The licensing for Multiscale deformable part model 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 Multiscale deformable part model have?
No parameter count has been published for Multiscale deformable part model, which is why no memory or speed figure appears on this page.
Who created Multiscale deformable part model?
Multiscale deformable part model was published by UC Irvine,University of Chicago,Toyota Technological Institute at Chicago, based in United States of America, categorised as academia,Academia,Academia.
When was Multiscale deformable part model released?
Multiscale deformable part model was published in June 2008. 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 Multiscale deformable part model used for?
Multiscale deformable part model works in Vision, and is recorded as handling object detection. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run Multiscale deformable part model?
None. Multiscale deformable part model 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.
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.