Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The VLFeat open source library offers a range of well-known algorithms focused on computer vision, particularly for tasks such as image comprehension and the extraction and matching of local features. Among its various algorithms are Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, the agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, and large scale SVM training, among many others. Developed in C to ensure high performance and broad compatibility, it also has MATLAB interfaces that enhance user accessibility, complemented by thorough documentation. This library is compatible with operating systems including Windows, Mac OS X, and Linux, making it widely usable across different platforms. Additionally, MatConvNet serves as a MATLAB toolbox designed specifically for implementing Convolutional Neural Networks (CNNs) tailored for various computer vision applications. Known for its simplicity and efficiency, MatConvNet is capable of running and training cutting-edge CNNs, with numerous pre-trained models available for tasks such as image classification, segmentation, face detection, and text recognition. The combination of these tools provides a robust framework for researchers and developers in the field of computer vision.
Description
g.BSanalyze serves as an engaging platform designed for the processing and examination of multimodal biosignal data, primarily aimed at clinical research and life sciences. Having been available for over two decades, it has gained traction in more than 70 countries worldwide. This software stands out as the most extensive toolkit for analyzing both non-invasive and invasive functions and dysfunctions of the brain, heart, and muscles. Its excellence has been recognized with multiple international awards. The latest version boasts a plethora of new features, including topographic plots, Canonical Correlation Analysis (CCA), advanced filtering options, a cortiQ file importer, enhancements for Result2D, tools for Cortico-Cortical Evoked Potentials, as well as dedicated toolboxes for electrocorticography (ECoG) and transcranial magnetic stimulation (TMS), among others. Additionally, the package includes numerous sample biosignal datasets, such as those for P300, SSVEP, motor imagery, CSP BCIs, Tilt-Table, event-related potentials (EPs), multi-unit activity, continuous flow magnetic (CFM), cortico-cortical evoked potentials (CCEP), and ERD/ERS. Furthermore, it features an interactive and user-friendly graphical interface tailored for the analysis and documentation of EEG, ECoG, EOG, EMG, ECG, spike data, and various physical datasets, all within the MATLAB environment. Overall, g.BSanalyze offers a comprehensive solution for researchers and practitioners seeking to delve into the complexities of biosignal analysis.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.02/one-time
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
VLFeat
Country
United States
Website
www.vlfeat.org/matconvnet/
Vendor Details
Company Name
Guger Technologies
Country
Austria
Website
www.gtec.at/product/gbsanalyze/
Product Features
Deep Learning
Convolutional Neural Networks
Yes
Document Classification
Yes
Image Segmentation
Yes
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Product Features
Clinical Trial Management
21 CFR Part 11 Compliance
No
Document Management
No
Electronic Data Capture
Yes
Enrollment Management
No
HIPAA Compliant
No
Monitoring
No
Patient Database
No
Recruiting Management
No
Scheduling
No
Study Planning
No