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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

Review Filters
Profile Name
Star Rating
35
10
2
0
1
Jerome H.
JH
Jerome H.
Operations and Training Strategist | Customer-Centric Consultant | Technology-Driven Solutions | Sales Consultant | Photography, UAVs & Customer Engagement | Passionate About Innovative Solutions & Green Energy
01/28/2025
Validated Reviewer
Verified Current User
Review source: Organic

Quick setup process

Easy to setup your accout. friendly user interface
Rohith S.
RS
Rohith S.
PEGA Developer - virtusa |CPDC v8.8 |CSSA v8.8 |CSA 8.7
01/24/2025
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

"How Lablebox presented activite learning tool transformed my machine learning efficiency"

While using Lalbebox presented active learning tool, it improved my working efficiency on working with ML projects. I am able to focus on specific data points I've done my work effectively. And also it's high-quality output at reasonable prices is too good.
Ali R.
AR
Ali R.
React JS Developer
01/21/2025
Validated Reviewer
Review source: G2 invite
Incentivized Review

It helps generate accurate and large amount of data for your work

It can help in generating large amount of data that can be helpful for any company.

About

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HQ Location:
San Francisco, California

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@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