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 training data platform for AI teams. A machine learning model can only be as good as the training data it uses. Labelbox is an integrated platform that allows you to create and manage high quality training data in one place. It also supports your production pipeline with powerful APIs. A powerful image labeling tool for segmentation, object detection, and image classification. You need precise and intuitive image segmentation tools when every pixel is important. You can customize the tools to suit your particular use case, including custom attributes and more. The performant video labeling editor is for cutting-edge computer visual. Label directly on the video at 30 FPS, with frame level. Labelbox also provides per-frame analytics that allow you to create faster models. It's never been easier to create training data for natural language intelligence. You can quickly and easily label text strings, conversations, paragraphs, or documents with fast and customizable classification.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
AWS CloudFormation
Yes
Amazon Web Services (AWS)
Yes
Cogito
No
Databricks
No
Diffgram Data Labeling
No
Google Cloud Platform
Yes
Innovatiana
No
Kubernetes
Yes
Labelbox
Yes
Lightly
No
Integrations
AWS CloudFormation
No
Amazon Web Services (AWS)
No
Cogito
Yes
Databricks
Yes
Diffgram Data Labeling
Yes
Google Cloud Platform
No
Innovatiana
Yes
Kubernetes
No
Labelbox
No
Lightly
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
No
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
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
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
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
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
Labelbox
Founded
2018
Country
United States
Website
labelbox.com/product/platform
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
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
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
No
Task Management
Yes
Team Collaboration
Yes
Training Data Management
Yes
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