MatConvNet Description
The VLFeat open-source library implements popular computer visual algorithms, specializing in image comprehension and local features extraction and match. There are many algorithms available, including VLAD, Fisher Vector, SIFT and MSER, k–means, hierarchical K-means and agglomerative Information Bottleneck, SLIC Superpixels, quick shift Superpixels, large-scale SVM training, and many more. It is written in C to ensure efficiency and compatibility. There are interfaces in MATLAB that make it easy to use and detailed documentation. It is compatible with Windows, Mac OS X, Linux, and other platforms. MatConvNet is a MATLAB Toolbox that implements Convolutional Neural Networks for computer vision applications. It is easy to use, efficient, and can learn and run state-of the-art CNNs. There are many pre-trained CNNs available for image classification, segmentation and face recognition.
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Integrations
No Integrations at this time
Company Details
Company:
VLFeat
Headquarters:
United States
Website:
www.vlfeat.org/matconvnet/
Media
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Product Details
Platforms
Windows
Mac
Linux
Type of Training
Documentation
Customer Support
Online
MatConvNet Features and Options
Deep Learning Software
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
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