Histograms of Oriented Gradients
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
- INRIA
- Organisation type
- Academia
- Country
- France
- Published
- 25 June 2005
- Authors
- N Dalal, B Triggs
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
- 14,658 tokens
we produced a new and significantly more challenging data set, ‘INRIA’, containing 1805 64×128 im- ages
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
- Citations
- 36,578
Sources
Where this record came from and when it was last checked.
- Reference
- Histograms of oriented gradients for human detection
- Last updated
- 28 November 2025
What the numbers mean
Background
Histograms of Oriented Gradients was published by INRIA, in the country recorded as France, during June 2005. The category the publisher falls under is academia.
It works in the domain of Vision, and is recorded as performing the task of object detection.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
How it was trained
The training set ran to roughly 14,658 tokens of text.
The reason it appears in this catalogue at all: highly cited.
Answers
Histograms of Oriented Gradients — common questions
Histograms of Oriented Gradients— 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.
Histograms of Oriented Gradients— 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.
Histograms of Oriented Gradients— who created it?
It was published by INRIA, based in France, an organisation categorised as academia.
Histograms of Oriented Gradients— when was it released?
It was published in June 2005. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
Histograms of Oriented Gradients— what is it used for?
It works in the domain of Vision, and is recorded as handling the task of object detection. These are the areas it was designed around; they describe intent rather than a hard boundary.
Histograms of Oriented Gradients— 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.