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What is Sixgill Sense?

The entire machine learning and computer vision workflow is simplified and accelerated through a unified no-code platform. Sense enables users to design and deploy AI IoT solutions in diverse settings, whether in the cloud, on-site, or at the edge. Learn how Sense provides simplicity, reliability, and transparency for AI/ML teams, equipping machine learning engineers with powerful tools while remaining user-friendly for non-technical experts. With Sense Data Annotation, users can effectively label video and image data, improving their machine learning models and ensuring the development of high-quality training datasets. The platform also includes one-touch labeling integration, which facilitates continuous machine learning at the edge and streamlines the management of all AI applications, thus enhancing both efficiency and performance. This all-encompassing framework positions Sense as an essential asset for a variety of users, making advanced technology accessible to those with varying levels of expertise. Additionally, the platform's flexibility allows for rapid adaptation to evolving project requirements and fosters collaboration among teams.

What is Labellerr?

Labellerr serves as a cutting-edge data annotation platform designed to simplify the development of high-quality labeled datasets that are crucial for artificial intelligence and machine learning initiatives. It supports a diverse range of data types, including but not limited to images, videos, text, PDFs, and audio, catering to a variety of annotation needs. By incorporating automated functionalities such as model-assisted labeling and active learning, the platform significantly accelerates the labeling process and boosts efficiency. Additionally, Labellerr integrates advanced analytics and smart quality assurance mechanisms to ensure that the annotations are both accurate and trustworthy. For projects requiring specialized knowledge, it offers expert-in-the-loop services, connecting users with professionals in fields like healthcare and automotive to guarantee exceptional outcomes. This all-encompassing strategy not only streamlines data preparation but also fosters confidence in the accuracy and reliability of the labeled datasets that are generated. Ultimately, Labellerr empowers organizations to harness the full potential of their data through superior annotation solutions.

Media

Media

Integrations Supported

Check Point IPS
Check Point Infinity
ThreatStream

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Sixgill

Date Founded

2007

Company Location

United States

Company Website

sixgill.com

Company Facts

Organization Name

Labellerr

Date Founded

2022

Company Location

United States

Company Website

www.labellerr.com

Categories and Features

Data Annotation

Not specified

Data Labeling

Labeling Automation
Labeling Quality
SDK
Task Management
Team Collaboration

Image Annotation

Not specified

IoT

Not specified

Machine Learning

Not specified

Video Annotation

Not specified

Categories and Features

AI Fine-Tuning

Not specified

Data Annotation

Not specified

Data Labeling

Not specified

Image Annotation

Not specified

RLHF

Not specified

Video Annotation

Not specified

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