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What is Label Studio?

Presenting a revolutionary data annotation tool that combines exceptional flexibility with straightforward installation processes. Users have the option to design personalized user interfaces or select from pre-existing labeling templates that suit their unique requirements. The versatile layouts and templates align effortlessly with your dataset and workflow needs. This tool supports a variety of object detection techniques in images, such as boxes, polygons, circles, and key points, as well as the ability to segment images into multiple components. Moreover, it allows for the integration of machine learning models to pre-label data, thereby increasing efficiency in the annotation workflow. Features including webhooks, a Python SDK, and an API empower users to easily authenticate, start projects, import tasks, and manage model predictions with minimal hassle. By utilizing predictions, users can save significant time and optimize their labeling processes, benefiting from seamless integration with machine learning backends. Additionally, this platform enables connections to cloud object storage solutions like S3 and GCP, facilitating data labeling directly in the cloud. The Data Manager provides advanced filtering capabilities to help you thoroughly prepare and manage your dataset. This comprehensive tool supports various projects, a wide range of use cases, and multiple data types, all within a unified interface. Users can effortlessly preview the labeling interface by entering simple configurations. Live serialization updates at the page's bottom give a current view of what the tool expects as input, ensuring an intuitive and smooth experience. Not only does this tool enhance the accuracy of annotations, but it also encourages collaboration among teams engaged in similar projects, ultimately driving productivity and innovation. As a result, teams can achieve a higher level of efficiency and coherence in their data annotation efforts.

What is Centaur Labs?

Upload your dataset to our secure cloud platform and establish labeling assignments. Once everything is set, begin these tasks with our extensive network of healthcare professionals. By collecting various expert perspectives, we achieve a level of accuracy that consistently surpasses that of any individual board-certified physician. We reward only the top performers, encouraging our medical experts to invest their highest effort into each case they assess, which guarantees quality throughout the process and allows us to provide you with cost efficiencies. Our vast on-demand network of healthcare professionals produces tens of thousands of medical annotations every day, ensuring that your requirements are processed quickly and efficiently. This optimized method not only boosts precision but also facilitates the timely delivery of crucial medical insights, ultimately enhancing the overall quality of care. By leveraging this approach, we can continuously improve our services and adapt to the evolving needs of our clients.

Media

Media

Integrations Supported

Amazon S3
Amazon SageMaker
Azure Blob Storage
Docker
Flair
Galileo AI
Google Cloud Storage
Hugging Face
Kubernetes
Lightly
Modzy
Pachyderm
PostgreSQL
PyTorch
Redis
SQLite
TensorFlow
Terraform
Tesseract
ZenML

Integrations Supported

Amazon S3
Amazon SageMaker
Azure Blob Storage
Docker
Flair
Galileo AI
Google Cloud Storage
Hugging Face
Kubernetes
Lightly
Modzy
Pachyderm
PostgreSQL
PyTorch
Redis
SQLite
TensorFlow
Terraform
Tesseract
ZenML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Label Studio

Company Location

United States

Company Website

labelstud.io

Company Facts

Organization Name

Centaur Labs

Date Founded

2017

Company Location

United States

Company Website

www.centaurlabs.com

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

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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