Labelbox
About Labelbox
Labelbox operates a data training platform that utilizes AI-assisted labeling and a global network of experts to provide high-quality data curation and evaluation for machine learning applications. This platform addresses the challenge of efficiently managing large-scale data labeling and evaluation, enabling businesses to accelerate model development and improve AI performance.
```xml <problem> Training high-performing AI models requires massive amounts of accurately labeled data, which is often a time-consuming, expensive, and complex process. Existing data labeling solutions may lack the necessary tools for efficient data curation, quality control, and integration with model training workflows. </problem> <solution> Labelbox provides a comprehensive data factory platform designed to streamline the entire AI development lifecycle, from data curation and labeling to model training and evaluation. The platform offers AI-assisted labeling tools, a global network of expert labelers, and robust quality assurance mechanisms to ensure high-quality training data. By integrating these capabilities into a unified environment, Labelbox enables AI teams to accelerate model development, improve AI performance, and reduce the overall cost of building AI applications. The platform supports both task-specific models and frontier models requiring reinforcement learning from human feedback (RLHF). </solution> <features> - AI-assisted labeling tools for faster and more accurate data annotation - Integrated data curation capabilities for efficient data selection and management - Human-in-the-loop evaluation workflows for assessing model performance and identifying areas for improvement - Support for various data types, including images, video, audio, and text - Global network of expert labelers for specialized data annotation tasks - Customizable quality control workflows to ensure data accuracy and consistency - Direct integration with popular machine learning frameworks and cloud platforms - RLHF platform with tooling and services powered by a global community of domain experts </features> <target_audience> Labelbox targets AI teams, data scientists, machine learning engineers, and data labeling managers across various industries who are responsible for building and deploying AI models. </target_audience> ```
What does Labelbox do?
Labelbox operates a data training platform that utilizes AI-assisted labeling and a global network of experts to provide high-quality data curation and evaluation for machine learning applications. This platform addresses the challenge of efficiently managing large-scale data labeling and evaluation, enabling businesses to accelerate model development and improve AI performance.
Where is Labelbox located?
Labelbox is based in San Francisco, United States.
When was Labelbox founded?
Labelbox was founded in 2018.
How much funding has Labelbox raised?
Labelbox has raised 188900000.
- Location
- San Francisco, United States
- Founded
- 2018
- Funding
- 188900000
- Employees
- 240 employees
- Major Investors
- SoftBank Vision Fund