Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Your AI Data Platform
High Quality Training Data for Enterprise
Data Labeling Software for Machine Learning
Your Kubernetes Cluster up to 3 users is free
TRUSTED BY 5,000 HAPPY UBERS WORLDWIDE
Images, Video, and Text
Spatial Tools
Quadratic Curves and Cuboids, Segmentation Box, Polygons and Lines, Keypoints, Classification tags, and More
You can use the exact spatial tool that you need. All tools are easy-to-use, editable, and offer powerful ways to present your data. All tools are available as Video.
Attribute Tools
More Meaning. More freedom through:
Radio buttons Multiple selection. Date pickers. Sliders. Conditional logic. Directional vectors. Plus, many more!
Complex knowledge can be captured and encoded into your AI.
Streaming Data
Automation
Manual labeling can be up to 10x faster than automated labeling
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
AWS CloudFormation
Yes
Amazon Web Services (AWS)
Yes
Check Point IPS
No
Check Point Infinity
No
Google Cloud Platform
Yes
Kubernetes
Yes
Labelbox
Yes
Microsoft Azure
Yes
Scale GenAI Platform
Yes
TensorFlow
Yes
Integrations
AWS CloudFormation
No
Amazon Web Services (AWS)
No
Check Point IPS
Yes
Check Point Infinity
Yes
Google Cloud Platform
No
Kubernetes
No
Labelbox
No
Microsoft Azure
No
Scale GenAI Platform
No
TensorFlow
No
Pricing Details
Free
https://www.diffgram.com/pricing
Free Trial
Yes
Free Version
Yes
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
Yes
Mac
Yes
Linux
Yes
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
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Diffgram
Founded
2018
Country
Santa Clara CA
Website
www.diffgram.com
Vendor Details
Company Name
Sixgill
Founded
2007
Country
United States
Website
sixgill.com
Product Features
Data Labeling
Human-in-the-loop
Yes
Labeling Automation
Yes
Labeling Quality
Yes
Performance Tracking
Yes
Polygon, Rectangle, Line, Point
Yes
SDK
Yes
Supports Audio Files
Yes
Task Management
Yes
Team Collaboration
Yes
Training Data Management
Yes
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