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Labelbox

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Company health

Employee growth
71% increase in the last year
Web traffic
44% decrease in the last quarter
Financing
September 2021 - $189M

Ratings

G2
4.7/5
(33)
Glassdoor
3.4/5
(61)

Labelbox description

Labelbox is a data platform designed to help businesses build and improve AI applications. It allows you to manage large amounts of data, use AI for tasks like labeling images or text, and improve the accuracy of your AI models. Labelbox is used by large companies across different industries, including technology, retail, and healthcare, to develop AI solutions for a variety of needs.


Who is Labelbox best for

Labelbox is a data platform that helps businesses build and improve AI applications. Users praise its accurate model-assisted labeling, intuitive interface, and useful integrations. However, some have noted occasional bugs, clunky UI, and limited customization. Ideal for small to mid-sized businesses developing AI solutions, Labelbox offers a free version and paid plans starting at $0.10 per LBU.

  • Best fit for small to mid-sized businesses needing data annotation.

  • Suitable for AI-focused companies across various sectors.


Labelbox features

Type in the name of the feature or in your own words tell us what you need
Supported

Labelbox supports accuracy, precision, recall, and F1-score.

Supported

Labelbox provides tools and frameworks for building, training, and evaluating AI models.

Qualities

We evaluate the sentiment that users express about non-functional aspects of the software

Ease of Use

Strongly positive
+1

Reliability and Performance

Neutral
+0

Labelbox reviews

We've summarised 33 Labelbox reviews (Labelbox G2 reviews) and summarised the main points below.

Pros of Labelbox
  • Accurate model-assisted labeling, reducing data preparation time.
  • Built-in features for searching, sorting, and saving datasets.
  • Seamless integration with other data platforms.
  • Easy-to-use interface and intuitive annotation tools.
  • Useful color-coding for organizing data categories.
  • Dashboard with charts showing time spent on tasks.
  • Helpful keyboard shortcuts for efficient annotation.
  • Python API for integration into data pipelines.
  • Good SDK support for programmatic data handling.
Cons of Labelbox
  • Occasional bugs and glitches, especially with higher resolution images.
  • UI can feel clunky and lacking smooth flow.
  • Difficulty with multi-channel images, common in scientific imaging.
  • Search functionality can be buggy.
  • Data migration issues can disrupt workflow.
  • Limited customization options, such as background color.
  • Lack of a comment box for annotators.
  • Occasional slowdowns and performance lags.
  • Overlapping bounding boxes can be difficult to select.
  • Difficult to label curves, angles may appear.

Labelbox pricing

The commentary is based on 1 reviews from Labelbox G2 reviews.

Labelbox pricing is generally considered high, especially for startups, with users desiring more affordable options. While there are no specific pricing details available, the cost is a notable concern for some potential users.

See the Labelbox pricing page.

  • Labelbox has a free plan.

  • Labelbox has a free trial.

Free

Free

Essential labeling platform, Data curation with natural language search, Multimodal data annotation, Limited number of users, projects, and ontologies, Community support, 500 LBUs per month

Starter

$0.10 per LBU

Unlimited users, projects & ontologies, Custom labeling & review workflows, Project performance dashboard, Model-assisted labeling with foundation models, Optional on-demand labeling services, Customer support portal access


Labelbox alternatives

  • Logo of Supervisely Computer Vision Platform
    Supervisely Computer Vision Platform
    Better fit for enterprise companies needing model training and experiment management. Growing slower than Labelbox. Offers a free community edition. A Labelbox competitor and alternative.
    Read more
  • Logo of CVAT.ai
    CVAT.ai
    Has more momentum and offers cloud storage and automated annotation features. A Labelbox alternative and competitor.
    Read more
  • Logo of Dataiku
    Dataiku
    Better for users comfortable with code and complex data pipelines. More suitable for enterprise-level businesses focusing on model deployment and scaling AI efforts. A Labelbox alternative with broader industry applications, particularly in manufacturing, media, and software. Has slower momentum.
    Read more
  • Logo of Qlik AutoML
    Qlik AutoML
    Better for users without data science expertise. Focuses on automated model building and insights, simplifying predictive analysis. Has broader brand recognition and wider usage, making it a more established Labelbox competitor.
    Read more
  • Logo of MATLAB
    MATLAB
    Better for users with advanced mathematical modeling and simulation needs. Primarily serves engineering, scientific, and academic fields. Has a steeper learning curve and higher cost. Grows slower than Labelbox.
    Read more
  • Logo of RapidCanvas
    RapidCanvas
    Better suited for non-coders seeking automated AI solutions. Caters to mid-sized and large companies focused on streamlining processes and data-driven decisions. Labelbox is growing faster.
    Read more

Labelbox FAQ

  • What is Labelbox and what does Labelbox do?

    Labelbox is an AI training data platform that allows users to manage, label, and iterate on data to improve AI model performance. It offers tools for data annotation, model training, and evaluation, enabling efficient development of robust AI applications. Labelbox caters to diverse business needs with features for image, text, and video analysis.

  • How does Labelbox integrate with other tools?

    Labelbox seamlessly integrates with other data platforms through its Python API and robust SDK support, enabling efficient incorporation into existing data pipelines. This facilitates smooth data transfer and enhances interoperability with other tools in your AI ecosystem.

  • What the main competitors of Labelbox?

    Key competitors to Labelbox include Clarifai, Dataiku, and Qlik AutoML. These alternatives offer similar data annotation, model building, and AI development capabilities for businesses seeking to improve their machine learning workflows.

  • Is Labelbox legit?

    Labelbox is a legitimate platform used by companies for AI development. It offers robust data management and annotation tools and integrates with other data platforms. While some users report occasional bugs and UI clunkiness, many praise its model-assisted labeling and ease of use.

  • How much does Labelbox cost?

    Labelbox's pricing includes a Free plan with limited features and 500 LBUs. The Starter plan costs $0.10 per LBU. They also offer specialized labeling services starting at $10 per hour. Enterprise pricing is available upon request.

  • Is Labelbox customer service good?

    Labelbox customer service receives positive feedback. Users mention that while there's a learning curve, support is readily available and issues are resolved effectively, even for undocumented features.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.