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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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 

Screenshots View All

Screenshots View All

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 
ThreatStream No 

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 
ThreatStream Yes 

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 

Alternatives

Alternatives

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