Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.
Description
The entire process of machine learning and computer vision is streamlined and expedited through a single no-code platform. Sense empowers users to create and implement AI IoT solutions across various environments, whether in the cloud, at the edge, or on-premises. Discover how Sense delivers ease, consistency, and transparency for AI/ML teams, providing robust capabilities for machine learning engineers while remaining accessible for subject matter experts. With Sense Data Annotation, you can enhance your machine learning models by efficiently labeling video and image data, ensuring the creation of high-quality training datasets. The platform also features one-touch labeling integration, promoting ongoing machine learning at the edge and simplifying the management of all your AI applications, thereby maximizing efficiency and effectiveness. This comprehensive approach makes Sense an invaluable tool for a wide range of users, regardless of their technical background.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon S3
Yes
Azure Storage
Yes
Check Point IPS
No
Check Point Infinity
No
Google Cloud Storage
Yes
ThreatStream
No
Integrations
Amazon S3
No
Azure Storage
No
Check Point IPS
Yes
Check Point Infinity
Yes
Google Cloud Storage
No
ThreatStream
Yes
Pricing Details
$5000
Hourly rates for Control SaaS and Alegion Managed Platform offerings. Hourly, per project, and per annotation pricing model options for Fully Managed Labeling Services.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
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
Yes
On-Premises
Yes
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
Yes
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
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
Alegion
Founded
2014
Country
United States
Website
www.alegion.com
Vendor Details
Company Name
Sixgill
Founded
2007
Country
United States
Website
sixgill.com
Product Features
Computer Vision
Blob Detection & Analysis
Yes
Building Tools
No
Image Processing
Yes
Multiple Image Type Support
Yes
Reporting / Analytics Integration
Yes
Smart Camera Integration
No
Data Labeling
Human-in-the-loop
Yes
Labeling Automation
Yes
Labeling Quality
Yes
Performance Tracking
Yes
Polygon, Rectangle, Line, Point
Yes
SDK
No
Supports Audio Files
Yes
Task Management
Yes
Team Collaboration
Yes
Training Data Management
Yes
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
Yes
Machine Learning
Yes
Visual User Interface
Yes
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
Yes
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
Yes
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
Yes
Sentence Segmentation
Yes
Stemming/Lemmatization
No
Tokenization
No
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
Yes
Labeling Quality
Yes
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
Yes
Supports Audio Files
No
Task Management
Yes
Team Collaboration
Yes
Training Data Management
No
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No