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 France, in June 2005. academia is the category the publisher falls under.
It works in Vision, and is recorded as doing 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.
The reason it appears in this catalogue at all is highly cited.
Answers
Histograms of Oriented Gradients — common questions
Is Histograms of Oriented Gradients open source?
The licensing for Histograms of Oriented Gradients 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 Histograms of Oriented Gradients have?
No parameter count has been published for Histograms of Oriented Gradients, which is why no memory or speed figure appears on this page.
Who created Histograms of Oriented Gradients?
Histograms of Oriented Gradients was published by INRIA, based in France, categorised as academia.
When was Histograms of Oriented Gradients released?
Histograms of Oriented Gradients 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.
What is Histograms of Oriented Gradients used for?
Histograms of Oriented Gradients works in Vision, and is recorded as handling object detection. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run Histograms of Oriented Gradients?
None. Histograms of Oriented Gradients 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.