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VLFeat Reviews & Product Details

Verified User in Computer Software
GC
Mid-Market(51-1000 emp.)
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What do you like best about VLFeat?

Many good baselines for popular computer vision techniques such as SIFT and HOG, along with a good SVM implementation. Also good documentation. Review collected by and hosted on G2.com.

What do you dislike about VLFeat?

Doesn't support more recent deep learning techniques (but see Matconvnet). Requires Matlab to use the high level APIs (or Octave, but this is less well supported). Review collected by and hosted on G2.com.

Recommendations to others considering VLFeat:

Good for baselines and reference implementations of popular computer vision methods. Review collected by and hosted on G2.com.

What problems is VLFeat solving and how is that benefiting you?

Extracting SIFT and HOG features as an object recognition baseline. Thin plate spline warps for data augmentation when training neural networks. Review collected by and hosted on G2.com.

VLFeat Overview

What is VLFeat?

VLFeat is an open source library that implements popular computer vision algorithms specializing in image understanding and local features extraction and matching, it include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux.

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Product Description

VLFeat is an open source library that implements popular computer vision algorithms specializing in image understanding and local features extraction and matching, it include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux.


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Recent VLFeat Reviews

AB
Akram B.Mid-Market (51-1000 emp.)
3.5 out of 5
"Lacks Documentation Depth"
Vlfeat is so cool. A computer vision researcher of the VLFeat will be a glad guy. It massively widens the choice of perfectly crafted blocks for th...
Verified User
G
Verified UserMid-Market (51-1000 emp.)
4.5 out of 5
"An extensive computer vision library"
Many good baselines for popular computer vision techniques such as SIFT and HOG, along with a good SVM implementation. Also good documentation.
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1 out of 2 Total Reviews for VLFeat

4.0 out of 5
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1 out of 2 Total Reviews for VLFeat
4.0 out of 5
1 out of 2 Total Reviews for VLFeat
4.0 out of 5

VLFeat Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
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G2 reviews are authentic and verified.
AB
Mid-Market(51-1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about VLFeat?

Vlfeat is so cool. A computer vision researcher of the VLFeat will be a glad guy. It massively widens the choice of perfectly crafted blocks for the image recognition, like SIFT and Fisher Vectors. Here, they can be simply grabbed and built over. Thus, this open-source library saves one times and efforts of development. Review collected by and hosted on G2.com.

What do you dislike about VLFeat?

The doc itself is neatly written, but the documentation is shallow at times. The multi-million dollar aircraft necessity issue gained attention when NASA’s Space Shuttle program was terminated in 2011. Review collected by and hosted on G2.com.

What problems is VLFeat solving and how is that benefiting you?

It offers a good alternative for those high-cost commercial libraries and the fact is it has diverse computer vision functions to make tasks faster and easier. Therefore, I spend less time creating scripts that aren't core to my research and more time on answering my questions. Review collected by and hosted on G2.com.

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