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What is LightTag?

Enhance your team's efficiency in NLP data labeling with our innovative platform, LightTag, which skillfully organizes your staff, allowing you to focus on the essential aspects of your work. The platform is crafted to provide a smooth experience, significantly improving productivity through its user-friendly design. Elevate Your Efficiency with Our Cutting-Edge Features: - User-Friendly Keyboard Shortcuts - Removal of tokenization assumptions - Extensive Unicode Compatibility - Annotations for both subwords and phrases - Support for RTL and CJK languages - Annotations for Entities, Classifications, and Relations LightTag's Review Mode and Reporting capabilities make it easy to create impeccable datasets while helping your annotators perform at their best. The AI embedded in LightTag intelligently learns to offer accurate predictions, streamlining basic labeling tasks, which allows your team to dedicate more time to crafting in-depth and higher-quality labels. Impressively, half of the annotations produced within LightTag are a result of our AI's recommendations, applicable to any language you prefer! Moreover, you can improve suggestions by incorporating your own models, utilizing regular expressions, and leveraging dictionaries. Our review feature enables you to quickly validate your models, ensuring you can initiate projects with assurance. This efficient approach not only conserves time but also significantly enhances the caliber of your data, ultimately leading to more successful outcomes.

What is Hive Data?

Create training datasets for computer vision models through our all-encompassing management solution, as we recognize that the effectiveness of data labeling is vital for developing successful deep learning applications. Our goal is to position ourselves as the leading data labeling platform within the industry, allowing enterprises to harness the full capabilities of AI technology. To facilitate better organization, categorize your media assets into clear segments. Use one or several bounding boxes to highlight specific areas of interest, thereby improving detection precision. Apply bounding boxes with greater accuracy for more thorough annotations and provide exact measurements of width, depth, and height for a variety of objects. Ensure that every pixel in an image is classified for detailed analysis, and identify individual points to capture particular details within the visuals. Annotate straight lines to aid in geometric evaluations and assess critical characteristics such as yaw, pitch, and roll for relevant items. Monitor timestamps in both video and audio materials for effective synchronization. Furthermore, include annotations of freeform lines in images to represent intricate shapes and designs, thus enriching the quality of your data labeling initiatives. By prioritizing these strategies, you'll enhance the overall effectiveness and usability of your annotated datasets.

Media

Media

Integrations Supported

Apache Atlas
Cogito
Hive AutoML
Quickwork
Style Intelligence
Taxi for Email
Toad Intelligence Central
Wyn Enterprise
bipp

Integrations Supported

Apache Atlas
Cogito
Hive AutoML
Quickwork
Style Intelligence
Taxi for Email
Toad Intelligence Central
Wyn Enterprise
bipp

API Availability

Has API

API Availability

Has API

Pricing Information

$100 per month
Free Trial Offered?
Free Version

Pricing Information

$25 per 1,000 annotations
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

LightTag

Date Founded

2018

Company Location

Germany

Company Website

www.lighttag.io

Company Facts

Organization Name

Hive

Date Founded

2013

Company Location

United States

Company Website

thehive.ai/hive-data

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

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

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

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