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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
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1
Rudra S.
RS
Rudra S.
Rimini Street
03/10/2025
Validated Reviewer
Review source: G2 invite
Incentivized Review

No need of time taking process for Data labeling when you have Labelbox

It made data labeling and managing data for AI & ML models easy. It helps it's users in identifying and modifying correct data labels for AI model trainings which improves model accuracy within short period of time with good quality of output.
Siva Kamal P.
SP
Siva Kamal P.
Data analyst
03/10/2025
Validated Reviewer
Review source: G2 invite
Incentivized Review

Labelbox makes your labeling work finish simple and fast

I like how Labelbox helps it's users by giving them a simple and better label data within short time. It contains a vast variety of tools that are simple and saves a lot of time while working as a team. t's organised data helps in making a better prompt while working with AI models.
VK
Vasanth K.
Software Developer at HP
03/07/2025
Validated Reviewer
Review source: G2 invite
Incentivized Review

Ai data labelbox review

As of my experience labelbox user interface is very friendly for beginners and it supports multiple data types like text, video and audio.it is used for annotate and datasets which is labeled for training models in machine learning

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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