Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Labellerr is a data annotation platform aimed at streamlining the creation of top-notch labeled datasets essential for AI and machine learning applications. It accommodates a wide array of data formats, such as images, videos, text, PDFs, and audio, addressing various annotation requirements. This platform enhances the labeling workflow with automated features, including model-assisted labeling and active learning, which help speed up the process significantly. Furthermore, Labellerr includes sophisticated analytics and intelligent quality assurance tools to maintain the precision and dependability of annotations. For projects that demand specialized expertise, Labellerr also provides expert-in-the-loop services, granting access to professionals in specialized domains like healthcare and automotive, thereby ensuring high-quality results. This comprehensive approach not only facilitates efficient data preparation but also builds trust in the reliability of the labeled datasets produced.
Description
TELUS Digital crafts unique and enduring experiences for customers and employees, and creates future-focused digital transformations that stand the test of time. We are the brand behind the brands. Our global team members are both passionate ambassadors of our clients’ products and services, and visionary technology experts resolute in our pursuit to elevate their end customer journeys, solve business challenges, mitigate risks, and drive continuous innovation. Our portfolio of end-to-end, integrated capabilities include digital IT services, such as cloud solutions and AI-fueled automation, trust and safety services, AI data solutions, including expertise in computer vision, and front-end digital design and consulting services. Fuel iX™ is TELUS Digital’s proprietary GenAI engine at the heart of our innovation, helping enterprises advance their GenAI pilots to working prototypes and production at scale, quickly, securely and responsibly across multiple environments, applications and clouds.
Powered by purpose, TELUS Digital leverages technology, human ingenuity and compassion to fuel remarkable outcomes and create inclusive, thriving communities in the regions where we operate around the world. Guided by our Humanity-in-the-loop principles, we take a responsible approach to the transformational technologies we develop and deploy by proactively considering and addressing the broader impacts of our work.
API Access
Has API
No
API Access
Has API
Yes
Integrations
TELUS Digital
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
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
No
Mac
No
Linux
No
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
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Labellerr
Founded
2022
Country
United States
Website
www.labellerr.com
Vendor Details
Company Name
TELUS Digital
Founded
2005
Country
Canada
Website
www.telusdigital.com/solutions/data-for-ai-training/data-annotation-services
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
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
Yes
Labeling Quality
Yes
Performance Tracking
No
Polygon, Rectangle, Line, Point
Yes
SDK
Yes
Supports Audio Files
No
Task Management
No
Team Collaboration
Yes
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