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What is UBIAI?

Leverage the power of UBIAI's cutting-edge labeling platform to significantly boost the speed of your personalized NLP model's training and deployment like never before! When working with semi-structured documents, such as invoices or contracts, it is crucial to retain the original formatting to ensure effective model training. By combining natural language processing with advanced computer vision techniques, UBIAI’s OCR capabilities enable you to perform tasks like named entity recognition (NER), relation extraction, and document classification directly on native PDF files, scanned images, or photos taken with a smartphone, all while keeping essential layout elements intact, resulting in a substantial improvement in the performance of your NLP model. The UBIAI text annotation tool allows for seamless execution of NER, relation extraction, and document classification tasks within a single, intuitive interface. In contrast to many other platforms, UBIAI uniquely supports the creation of nested and overlapping entities that represent multiple relationships, thus enhancing your data annotation efforts. This distinctive feature not only streamlines your workflow but also deepens the insights that your model can derive, ultimately leading to a more effective and comprehensive understanding of the data. Additionally, this streamlined process encourages collaboration among team members, fostering a more productive environment for model development.

What is LabelMe?

LabelMe is designed as a web-based platform that enables users to annotate images, thereby assisting in the development of image databases vital for research in the field of computer vision. Through its annotation tool, users can play an integral role in expanding this growing database. Images can be arranged into organized collections, and users have the option to create nested collections similar to traditional folder structures. When downloading their database, users will find that the arrangement of collections mirrors this folder organization. Additionally, users can upload their images to these collections and annotate them using the LabelMe tool. There are also unlisted collections that can be accessed by anyone with the specific URL, even though they remain hidden from public view. Ultimately, LabelMe strives to make both images and annotations freely available to the research community, promoting collaboration and fostering innovation. This dedication to open access underscores the significance of shared resources in propelling advancements in computer vision research, while also encouraging diverse contributions from various users.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$299 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

UBIAI

Date Founded

2020

Company Location

United States

Company Website

ubiai.tools/

Company Facts

Organization Name

LabelMe

Company Website

labelme.csail.mit.edu/Release3.0/

Categories and Features

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

Categories and Features

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