Statistical Shape Constellations
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
- California Institute of Technology
- Organisation type
- Academia
- Country
- United States of America
- Published
- 1 January 2003
- Authors
- M. Weber, M. Welling, and P. Perona
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Vision
- Task
- Image classification
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.
- Why it is tracked
- Historical significance
- Record confidence
- Unknown
- Citations
- 949
Sources
Where this record came from and when it was last checked.
- Reference
- Unsupervised Learning of Models for Recognition
- Last updated
- 28 November 2025
What the numbers mean
About this model
Statistical Shape Constellations was published by California Institute of Technology, in United States of America, in January 2003. It comes out of academia.
It works in Vision, and is recorded as doing image classification.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Training and provenance
Its inclusion criterion is historical significance.
Answers
Statistical Shape Constellations — common questions
What is Statistical Shape Constellations used for?
Statistical Shape Constellations works in Vision, and is recorded as handling image classification. 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 Statistical Shape Constellations?
None. Statistical Shape Constellations 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 Statistical Shape Constellations open source?
The licensing for Statistical Shape Constellations 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 Statistical Shape Constellations have?
No parameter count has been published for Statistical Shape Constellations, which is why no memory or speed figure appears on this page.
Who created Statistical Shape Constellations?
Statistical Shape Constellations was published by California Institute of Technology, based in United States of America, categorised as academia.
When was Statistical Shape Constellations released?
Statistical Shape Constellations was published in January 2003. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
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.