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features
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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

Twine AI provides customized services for the collection and annotation of speech, image, and video data, catering to the creation of both standard and bespoke datasets aimed at enhancing AI/ML model training and fine-tuning. The range of offerings includes audio services like voice recordings and transcriptions available in over 163 languages and dialects, alongside image and video capabilities focused on biometrics, object and scene detection, and drone or satellite imagery. By utilizing a carefully selected global community of 400,000 to 500,000 contributors, Twine emphasizes ethical data gathering, ensuring consent and minimizing bias while adhering to ISO 27001-level security standards and GDPR regulations. Each project is comprehensively managed, encompassing technical scoping, proof of concept development, and complete delivery, with the support of dedicated project managers, version control systems, quality assurance workflows, and secure payment options that extend to more than 190 countries. Additionally, their service incorporates human-in-the-loop annotation, reinforcement learning from human feedback (RLHF) strategies, dataset versioning, audit trails, and comprehensive dataset management, thereby facilitating scalable training data that is rich in context for sophisticated computer vision applications. This holistic approach not only accelerates the data preparation process but also ensures that the resulting datasets are robust and highly relevant for various AI initiatives.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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) Yes 
In Person No 

Vendor Details

Company Name

Labellerr

Founded

2022

Country

United States

Website

www.labellerr.com

Vendor Details

Company Name

Twine.net

Founded

2013

Country

United Kingdom

Website

www.twine.net/ai

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

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