Vanberra Signal

VLFeat

Curated by Signal

Open source library of computer vision algorithms

Overview

VLFeat is an open source library of computer vision algorithms that aims at facilitating prototyping and reproducible research for computer vision scientists and students. Featured algorithms include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large-scale SVM training etc. The library is written in C and integrates directly with MATLAB, a language for computer vision research. It is compatible with Windows, Mac OS X, and Linux.

Key facts

Founded
2007

Business model

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About VLFeat

What does VLFeat do?

VLFeat is an open source library of computer vision algorithms that aims at facilitating prototyping and reproducible research for computer vision scientists and students.

Where is VLFeat headquartered?

VLFeat is headquartered in Oxford, United Kingdom.

When was VLFeat founded?

VLFeat was founded in 2007.

Which sector is VLFeat in?

VLFeat operates in High Technology.

Who are VLFeat's competitors?

Companies similar to VLFeat include Elerian AI, Frigate, and Buddi.