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ease
features
design
support

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Description

Revolutionary machine teaching is here with an exceptionally efficient annotation tool driven by active learning. Prodigy serves as a customizable annotation platform so effective that data scientists can handle the annotation process themselves, paving the way for rapid iteration. The advancements in today's transfer learning technologies allow for the training of high-quality models using minimal examples. By utilizing Prodigy, you can fully leverage contemporary machine learning techniques, embracing a more flexible method for data gathering. This will enable you to accelerate your workflow, gain greater autonomy, and deliver significantly more successful projects. Prodigy merges cutting-edge insights from the realms of machine learning and user experience design. Its ongoing active learning framework ensures that you only need to annotate those examples the model is uncertain about. The web application is not only powerful and extensible but also adheres to the latest user experience standards. The brilliance lies in its straightforward design: it encourages you to concentrate on one decision at a time, keeping you actively engaged – akin to a swipe-right approach for data. Additionally, this streamlined process fosters a more enjoyable and effective annotation experience overall.

Description

Utilize UBIAI's advanced labeling platform to accelerate the training and deployment of your personalized NLP model like never before! When handling semi-structured documents such as invoices or contracts, it is essential to maintain the original layout for optimal model training. By integrating natural language processing with computer vision, UBIAI’s OCR functionality empowers you to execute named entity recognition (NER), relation extraction, and classification tasks directly on native PDF files, scanned images, or smartphone pictures, all while preserving critical layout details, which leads to a remarkable enhancement in your NLP model's performance. With the UBIAI text annotation tool, you can carry out NER, relation extraction, and document classification seamlessly within the same user-friendly interface. Unlike many other platforms, UBIAI offers the capability to create nested and overlapping entities that encompass multiple relationships, thereby enriching your data annotation process. This unique feature not only simplifies your workflow but also enhances the depth of insights your model can achieve.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Innovatiana No 
ZenML Yes 

Integrations

Innovatiana Yes 
ZenML No 

Pricing Details

$490 one-time fee
Per seat, available in packs of 5 seats
Free Trial No 
Free Version No 

Pricing Details

$299 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
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 No 
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 No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Explosion

Founded

2016

Country

Germany

Website

prodi.gy/

Vendor Details

Company Name

UBIAI

Founded

2020

Country

United States

Website

ubiai.tools/

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation Yes 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management Yes 
Team Collaboration No 
Training Data Management 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 

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

OCR

Batch Processing No 
Convert to PDF No 
ID Scanning No 
Image Pre-processing No 
Indexing No 
Metadata Extraction No 
Multi-Language No 
Multiple Output Formats No 
Text Editor No 
Zone Selection Tool No 

Alternatives

Alternatives

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