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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

ConveYour is a learning management system that supports microlearning. ConveYour is a learning management tool that focuses on trainers who need to create, distribute, and hold people accountable. You can create memorable, high-quality training experiences that your employees love and save administrative resources. ConveYour is used in a variety of ways, including sales training, onboarding employees and training on business policy changes.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Stripe Yes 

Integrations

Stripe No 

Pricing Details

$97.00/month
Visit https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fconveyour.com%2Fpricing for more information.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook 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 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Throwing Boulders

Founded

2010

Country

United States

Website

conveyour.com

Vendor Details

Company Name

VLFeat

Country

United States

Website

www.vlfeat.org/matconvnet/

Product Features

Learning Management Systems (LMS)

Academic / Education Yes 
Asynchronous Learning Yes 
Blended Learning No 
Built-In Course Authoring Yes 
Corporate / Business Yes 
Customizable No 
Gamification Yes 
Learner Portal Yes 
Mobile Learning Yes 
Open Source No 
SCORM Compliance No 
Synchronous Learning Yes 
Video Conferencing No 
eCommerce Yes 
eLearning Companies No 

Microlearning

Adaptive Learning No 
Asynchronous Learning Yes 
Built-In Course Authoring Yes 
Content Library No 
Evaluation Management Yes 
Gamification Yes 
Leaderboards Yes 
Progress Tracking Yes 
Quizzes Yes 
Rewards Management No 

Sales Training

Analytics / Reporting No 
Assessment Management No 
Built-in Course Authoring No 
Certification Management No 
Customizable Branding No 
Gamification No 
Learning Management No 
Microlearning No 
Onboarding No 
Practice Tools No 
Progress Tracking No 
Video Assessments No 

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 

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