AI assisted collaborative SaaS platform that enables computer vision teams to easily connect already available data and make it ready for most powerful training data platform with feedback loop

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easy to create project
smart feedback loop
no crashes happen in between the task
model training
simple steps for project qualification & approval
less turnaround time
no code platform
custom support
— Testimonials

Hear what our clients say

Labellerr tool has been very useful to get our transcript annotated and that too quickly

David Ben Abou
Director of Engineering,
Intuition Robotics

Labellerr’s contribution to theproject has been pivotal. Thankyou so much for quality work thathelped us.

Nakul Jain
Project Delivery, Wadhwani AI

Labeller team help me with the project with our multiple clients. I enjoyed working on the platform because of the simple UI.

Will Dehnert
Co - Founder, Perceptly Inc.

Ease of use

Highly intuitive user interface with annotation job templates and 24/7 support
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Support all kind of data for computer vision AI and annotation types
One shop solution for your tool and human in the loop requirement
Highly intuitive user interface with annotation job templates and 24/7 support
Powerful API integrations to connect into your existing MLOps infrastructure


Gives users power to manage and govern the training data project in single view
Full visibility of the project thanks to highly interactive and analytics rich dashboard
User level authorization to supervise the annotation workflow
Multiple method to check the accuracy and pinpoint the problem at each data point level
Setup Alerts on mobile and email to keep track of labeling quality

Browse our set of features


Which is a better alternative: Labellerr or Appen?


Labellerr is a better alternative compared to Appen because it offers automation, speed, and customization. Despite the fact that Appen also provides outsourced labeling services, it is quite expensive and complex to manage in terms of cost and quality control.

Do Appen and Labellerr have a high-quality workforce?


Both Appen and Labellerr's workforces might be of varying caliber. Labellerr provides a curated third-party data annotation workforce best suited for your use case and industry while some users have raised concerns regarding the workforce caliber of the Appen.

How is Labeller a better alternative compared to Appen?


Compared to Appen, Labellerr provides automation, speed, and customization. Its workforce for curated third-party data annotation is different from Appen's combination of human intelligence and cutting-edge algorithms for high-quality training. A larger variety of data annotation types and auto-labeling are supported by Labellerr.

What annotation formats are supported by Labellerr?


JSON, CSV, YOLO V5, and COCO are supported by Labellerr as standard output formats for annotations. Also, it's important to note that Labellerr is not just restricted to these formats; it can also handle additional formats.

Labellerr or Appen: Which one is a better data annotation platform?


Labellerr is best suitable for automation, speed, ease of use, and customization, while Appen offers a scalable workforce and annotation services, including natural language tasks, for projects.

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