MLP baggage detector
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
- Science Applications International Corporation / SAIC
- Organisation type
- Industry
- Country
- United States of America
- Published
- 1 January 1989
- Authors
- Patrick M Shea, Vincent Lin
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
- 20,000 tokens
- Epochs
- 2,000
"The database contains about 20,000 bags without simulants and a like number with; although, because of changes made in the systems as they were developed, not all measurements are on the same basis."
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
- Confident
One of the first real-world use cases of neural networks
Sources
Where this record came from and when it was last checked.
- Reference
- Detection of explosives in checked airline baggage using an artificial neural system
- Last updated
- 28 November 2025
What the numbers mean
About this model
MLP baggage detector was published by Science Applications International Corporation / SAIC, in the country recorded as United States of America, during January 1989. The publishing organisation is categorised as industry.
It works in the domain of Vision, and is recorded as performing the task of image classification.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
How it was trained
It was trained on a corpus of about 20,000 tokens of text.
It is tracked in the underlying dataset for one reason in particular: historical significance.
Answers
MLP baggage detector — common questions
MLP baggage detector— 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.
MLP baggage detector— 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.
MLP baggage detector— who created it?
It was published by Science Applications International Corporation / SAIC, based in United States of America, an organisation categorised as industry.
MLP baggage detector— when was it released?
It was published in January 1989. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
MLP baggage detector— what is it used for?
It works in the domain of Vision, and is recorded as handling the task of image classification. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
MLP baggage detector— 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.
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.