Labellerr is a robust platform accelerating Artificial Intelligence and Machine Language projects with high-quality, automated data labeling support. While some users have encountered slowdowns, Labellerr reduces the data preparation time by 90%. Furthermore, its all-in-one capabilities ensure accurate labels and seamless integration, providing enterprise-level security and privacy.

Labellerr Specifications

Natural Language Dialogue

Smart Data Discovery

Self-Service Dashboards

Text to Speech & Speech to Text

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What is Labellerr?

Overview

Labellerr is a powerful AI/ML model training platform that automates data labeling. It supports various data formats like photos, videos, text, and audio and integrates with major cloud providers like AWS, GCP, and Azure. Labellerr's advanced project management capabilities can result in 99% accuracy and 80% deployment cost reduction. Its cutting-edge features make Labellerr suitable for industries like automotive, healthcare, agriculture, biotechnology, energy, and manufacturing.

Labellerr Pricing

Labellerr pricing is available in the following three plans:

  • Researcher Plan: This plan is free for university students and researchers
  • Pro Plan: @ $499.00/month (suitable for small teams working on limited data)
  • Enterprise Plan: Custom pricing (optimal for larger teams with extensive data needs)

Disclaimer: These prices are subject to change.

Get a custom pricing estimate as per your business requirements.

Labellerr Integrations

Labellerr integrates with various third-party apps, such as:

  • AWS SageMaker
  • Microsoft Azure
  • Google Cloud Platform Vertex AI.
Watch a free Labellerr demo to learn more about its integrations.

Who Is Labellerr For?

The software covers a number of different industries, including:

  • Automotive
  • Healthcare
  • Agriculture
  • Retail
  • Biotechnology
  • Energy
  • Manufacturing
  • Security and surveillance
  • LLM
  • Sports Vision

Is Labellerr Right For You?

Labellerr is ideal for teams that require efficient and scalable data labeling. It has won several high-performance awards and is also ISO/IEC 27001:2013, ISO/IEC 9001:15, GDPR, and SOC-2 certified platform. It is a trusted choice of ADOBE, Foss, Intuition Robotics, University of Maryland, Stanford University, and Maythos AI, which will further authenticate its capacity and high performance.

Are you still unsure whether Labellerr is the best choice for your business? Contact us at (661) 384-7070 for further guidance from our team of experts.

Labellerr Features

Labellerr offers advanced techniques, such as prompt-based, model-assisted, and active learning, to speed up data labeling. This automation reduces manual effort and increases efficiency, allowing teams to focus on complex tasks.

how it worksSee How It Works

This feature supports various data types, including images, videos, PDFs, text, and audio. It also allows users to handle diverse projects without switching between different tools, streamlining the workflow. Users get access to different data formats with Labellerr.

how it worksSee How It Works

Users can leverage pre-trained models and ground truth-based quality assurance to ensure high-quality labels. Labellerr reduces the time spent on manual quality checks, improving overall accuracy and reliability of the labeled data.

how it worksSee How It Works

Labellerr integrates seamlessly with Google Cloud Platform’s Vertex AI, AWS SageMaker, Azure, and custom setups. This integration facilitates smooth transitions between labeling and model training and enhances the overall AI development.

how it worksSee How It Works

This feature helps reduce time and costs by at least ten times. Labellerr provides insights and streamlines project workflows, making it easier to manage large-scale labeling projects.

how it worksSee How It Works

Pros and Cons of Labellerr

Pros

  • User-friendly interface
  • Efficient and accurate data annotation
  • Supports multiple data types
  • Responsive customer support

Cons

  • Occasional latency issues
  • Missing few advanced features
  • Data management challenges

Labellerr Reviews

Overall Rating

4.9

20 Review(s)

Rating Distribution

5

star

(18)

4

star

(2)

3

star

2

star

1

star

February 2024

Flexible image data annotation tool I found

Anonymous

Machine Learning

Ease of use

10

Value for money

10

Customer Support

8

Functionality

10

Pros

I used Labellerr for a project involving image annotations, and I found the software extremely smooth and adaptable. We're utilizing it for our inspections module, where we capture photos of hotel rooms and mark areas for maintenance or other issues. It's great that the annotation tool is versatile enough to add new annotations and objects as needed, learning along the way. Puneet was very helpful in explaining the software and helped us get off to a strong start. Since we're already using Azure Cloud, integration was very easy, and it only took a few hours to onboard and prepare for the test project.

Cons

I think it would be really helpful if we had the option to customize the hotkeys, so my team could mark objects more quickly.

January 2024

The next gen data annotation tool for all kinds of data points, especially images

Akash D.

Machine Learning

Ease of use

10

Value for money

10

Customer Support

10

Functionality

10

Pros

It's an easy-to-use tool for image annotation tasks, scalable, and integrates smoothly.

Cons

Sometimes there's a bit of lag when working with large image files.

January 2024

Incredible solution and support team

Anonymous

Small-Business

Ease of use

6

Value for money

8

Customer Support

10

Functionality

8

Pros

I recently had the chance to work with Labellerr to annotate a large set of textual data, mainly newspaper articles. My goal was to identify key elements in these articles for training data, and Labellerr was an invaluable tool in this task. The support team deserves a special mention, they were always available to offer assistance and advice, going beyond just technical help to provide insights that improved the quality of my project. Navigating the interface was effortless, which made handling such a large dataset far less overwhelming. I spent less time learning the tool and more time focusing on the actual work.

Cons

I honestly can't think of much to criticize, this is a product that's constantly evolving, and I'm excited to see how it grows alongside our organization.

Frequently Asked Questions

Labellerr supports the English language only.