Optimized Multi-Scale Edge Detection
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
- Massachusetts Institute of Technology (MIT)
- Organisation type
- Academia
- Country
- United States of America
- Published
- 1 November 1986
- Authors
- John Canny
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.
- Why it is tracked
- Highly cited
- Record confidence
- Unknown
- Citations
- 37,931
Sources
Where this record came from and when it was last checked.
- Reference
- A Computational Approach To Edge Detection
- Last updated
- 28 November 2025
What the numbers mean
About this model
Optimized Multi-Scale Edge Detection was published by Massachusetts Institute of Technology (MIT), in United States of America, in November 1986. It comes out of academia.
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.
Training and provenance
Its inclusion criterion is highly cited.
Answers
Optimized Multi-Scale Edge Detection — common questions
What GPU do I need to run Optimized Multi-Scale Edge Detection?
None. Optimized Multi-Scale Edge Detection 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 Optimized Multi-Scale Edge Detection open source?
The licensing for Optimized Multi-Scale Edge Detection 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 Optimized Multi-Scale Edge Detection have?
No parameter count has been published for Optimized Multi-Scale Edge Detection, which is why no memory or speed figure appears on this page.
Who created Optimized Multi-Scale Edge Detection?
Optimized Multi-Scale Edge Detection was published by Massachusetts Institute of Technology (MIT), based in United States of America, categorised as academia.
When was Optimized Multi-Scale Edge Detection released?
Optimized Multi-Scale Edge Detection was published in November 1986. 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 Optimized Multi-Scale Edge Detection used for?
Optimized Multi-Scale Edge Detection 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.
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.