MatConvNet

MatConvNet

VLFeat
OpenVINO

OpenVINO

Intel
+
+

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About

The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching. Algorithms 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. MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications. It is simple, efficient, and can run and learn state-of-the-art CNNs. Many pre-trained CNNs for image classification, segmentation, face recognition, and text detection are available.

About

The Intel® Distribution of OpenVINO™ toolkit is an open-source AI development toolkit that accelerates inference across Intel hardware platforms. Designed to streamline AI workflows, it allows developers to deploy optimized deep learning models for computer vision, generative AI, and large language models (LLMs). With built-in tools for model optimization, the platform ensures high throughput and lower latency, reducing model footprint without compromising accuracy. OpenVINO™ is perfect for developers looking to deploy AI across a range of environments, from edge devices to cloud servers, ensuring scalability and performance across Intel architectures.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Anyone in need of a deep learning software

Audience

AI developers and data scientists seeking optimized, scalable AI deployment solutions across Intel hardware for applications in computer vision, LLMs, and generative AI

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

VLFeat
United States
www.vlfeat.org/matconvnet/

Company Information

Intel
Founded: 1968
United States
www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html

Alternatives

Alternatives

LiveLink for MATLAB

LiveLink for MATLAB

Comsol Group
oneAPI

oneAPI

Intel
DataMelt

DataMelt

jWork.ORG
OpenCL

OpenCL

The Khronos Group
MATLAB

MATLAB

The MathWorks
EndoAim

EndoAim

ASUS

Categories

Deep Learning Supported

Categories

AI Development Supported
AI Inference Supported
Deep Learning Supported

Deep Learning Features

Convolutional Neural Networks Supported
Document Classification Supported
Image Segmentation Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Neural Network Modeling Not Supported
Self-Learning Not Supported
Visualization Not Supported

Integrations

Caffe Not Supported
Cameralyze Not Supported
EndoAim Not Supported
Hugging Face Not Supported
Intel Geti Not Supported
Intel Open Edge Platform Not Supported
Keras Not Supported
LaunchX Not Supported
Nero AI Not Supported
Nutanix Karbon Platform Services Not Supported
ONNX Not Supported
PaddlePaddle Not Supported
PyTorch Not Supported
TensorFlow Not Supported

Integrations

Caffe Supported
Cameralyze Supported
EndoAim Supported
Hugging Face Supported
Intel Geti Supported
Intel Open Edge Platform Supported
Keras Supported
LaunchX Supported
Nero AI Supported
Nutanix Karbon Platform Services Supported
ONNX Supported
PaddlePaddle Supported
PyTorch Supported
TensorFlow Supported
Claim MatConvNet and update features and information
Claim MatConvNet and update features and information
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