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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
Subhra G.
SG
Subhra G.
02/28/2023
Validated Reviewer
Verified Current User
Review source: G2 invite on behalf of seller
Incentivized Review

One of the sorted tools, I have ever worked on.

Categorization of the categories as well as the data of the agents. We can quickly check an agent's time completing one label and the total labels per agent/team. Also, we can check how many tasks are assigned to an agent,
PN
Piotr N.
02/27/2023
Validated Reviewer
Review source: G2 invite on behalf of seller
Incentivized Review

More or less i just enjoy using labelbox. There are no major mistakes, hud is beginner - friendly

As i wrote earlier hud is charmingly easy to use. Also there are tools to make everything clear like switches to turn off frames, light/dark modes, light manipulation and easy photo repositioning.
Michael Y.
MY
Michael Y.
Senior Research Scientist at ACT
02/24/2023
Validated Reviewer
Review source: G2 invite on behalf of seller
Incentivized Review

Very handy tool that visibly changes for the better

Labelbox has a straightforward interface for labeling project designers and labelers alike. There is a learning curve, but help was always available, and I was sure that issues would be resolved.

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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