AdaBoost.M2 Digit Recognition
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
- AT&T
- Organisation type
- Industry
- Country
- United States of America
- Published
- 3 July 1996
- Authors
- Yoav Freund, Robert E. Schapire
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Vision
- Task
- Digit recognition
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
- 9,709 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
- Confident
- Citations
- 12,977
Also listed in Denis Panjuta's List of 100+ AI Algorithms
Sources
Where this record came from and when it was last checked.
- Reference
- Experiments with a New Boosting Algorithm
- Last updated
- 28 November 2025
What the numbers mean
About this model
AdaBoost.M2 Digit Recognition was published by AT&T, in the country recorded as United States of America, during July 1996. The category the publisher falls under is industry.
It works in the domain of Vision, and is recorded as performing the task of digit recognition.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Training and provenance
The training set ran to roughly 9,709 tokens of text.
It is tracked in the underlying dataset for one reason in particular: highly cited.
Answers
AdaBoost.M2 Digit Recognition — common questions
AdaBoost.M2 Digit Recognition— who created it?
It was published by AT&T, based in United States of America, an organisation categorised as industry.
AdaBoost.M2 Digit Recognition— when was it released?
It was published in July 1996. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
AdaBoost.M2 Digit Recognition— what is it used for?
It works in the domain of Vision, and is recorded as handling the task of digit recognition. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
AdaBoost.M2 Digit Recognition— what GPU do I need to run it?
None. This 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.
AdaBoost.M2 Digit Recognition— is it open source?
The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
AdaBoost.M2 Digit Recognition— how many parameters does it have?
No parameter count has been published for it, 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.