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Labelbox

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48 reviews
  • 1 profiles
  • 4 categories
Average star rating
4.5
Serving customers since
2018
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Labelbox Reviews

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Profile Name
Star Rating
35
10
2
0
1
Sai Kiran U.
SU
Sai Kiran U.
Data Engineer Intern @ Birlasoft | BlockChain Developer | Full Stack | Freelancer
03/07/2025
Validated Reviewer
Review source: G2 invite
Incentivized Review

AI Data Labeling platform

Easy to label images and text, videos which is helpful for organizing way better. That platform Uses cloud for storage for labeling mechanism which give you a efficient process of data from various peer clouds, it is the best way to process.
Jack M.
JM
Jack M.
Seeking Employment
03/03/2025
Validated Reviewer
Verified Current User
Review source: Organic

Currently Waiting For A Project

I like how Labelbox is an opportunity to showcase the skills I learned throughout my college career by training AI models to be the best quality possible. Additionally, the UI was simple to navigate and the support team was very helpful in getting my account set up.
Harika S.
HS
Harika S.
Intern @ Birlasoft | Full Stack Development
02/26/2025
Validated Reviewer
Review source: G2 invite
Incentivized Review

AI data engine platform

It is a Ai data engine platform.we can label data ourselves, use third-party services, or use Label box's Labeling Services .Users can customize workflows for data labeling, data cataloging, and model debugging.

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HQ Location:
San Francisco, California

Social

@labelbox

What is Labelbox?

Labelbox is a training data platform for machine learning applications that provides tools and infrastructure to help teams create and manage high-quality data sets. By offering a comprehensive suite of labeling tools, APIs, and a powerful annotation editor, Labelbox enables organizations to build AI applications efficiently by making data labeling faster, cheaper, and scalable. It supports a variety of data types, such as images, videos, and text, making it versatile for different AI projects. Labelbox's collaboration features and analytics help teams to monitor labeler performance and improve data quality, ensuring more accurate machine learning models. You can learn more about their services and solutions at [https://labelbox.com](https://labelbox.com).

Details

Year Founded
2018
Website
labelbox.com