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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

Appen combines the intelligence of over one million people around the world with cutting-edge algorithms to create the best training data for your ML projects. Upload your data to our platform, and we will provide all the annotations and labels necessary to create ground truth for your models. An accurate annotation of data is essential for any AI/ML model to be trained. This is how your model will make the right judgments. Our platform combines human intelligence with cutting-edge models to annotation all types of raw data. This includes text, video, images, audio and video. It creates the exact ground truth for your models. Our user interface is easy to use, and you can also programmatically via our API.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Google Cloud Platform Yes 
Microsoft Azure Yes 
AWS CloudFormation Yes 
Amazon EC2 No 
Amazon Redshift No 
Amazon S3 No 
Amazon Web Services (AWS) Yes 
IBM Cloud No 
Kubernetes Yes 
Labelbox Yes 
Scale GenAI Platform Yes 
TensorFlow Yes 

Integrations

Google Cloud Platform Yes 
Microsoft Azure Yes 
AWS CloudFormation No 
Amazon EC2 Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Amazon Web Services (AWS) No 
IBM Cloud Yes 
Kubernetes No 
Labelbox 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 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 Yes 
Live Rep (24/7) Yes 
Online Support Yes 

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

Appen

Founded

1996

Country

Australia

Website

appen.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

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 No 
Polygon, Rectangle, Line, Point No 
SDK No 
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 

Speech Analytics

Automatic Transcription Yes 
Call Center Management No 
Call Recording No 
Customer Experience Management No 
Data Security No 
Natural Language Processing Yes 
Predictive Analytics No 
Self-Service Search No 
Sentiment Analysis Yes 
Surveys & Feedback Yes 

Alternatives

Alternatives

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