Labelbox
The data factory for AI teams partnering with 80%+ of leading US AI labs for data, evaluations, and model development.
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What is Labelbox?
Labelbox is a data factory platform for AI teams that helps create, label, manage, evaluate, and improve training data for GenAI, task-specific models, reinforcement learning, and robotics. It combines software for annotation, workflow management, quality assurance, and model evaluation with expert labeling services and an expert human network.
The platform is built for teams that need high-quality labeled data at scale without giving up control or throughput. It supports multimodal data creation, custom workflows, collaborative review, and flexible interfaces for different tasks, including computer vision, NLP, and custom labeling experiences.
A major part of Labelbox is its built-in AI automation. The website highlights model-assisted labeling, code and grammar critics, LLM-as-a-judge, auto-QA, consensus scoring, benchmarks, and real-time analytics to improve speed and quality.
Labelbox also emphasizes evaluation and research workflows, including live or offline multimodal chat evals, human preference comparisons, prompt and response generation, and frontier model benchmarking. It is positioned for AI labs, enterprises, and research teams that need production-grade data creation and evaluation infrastructure.
Labelbox pricing
Pricing model: Free
Labelbox offers a Free for education option for people who attend or teach at qualified educational institutions, for non-commercial research. Its paid usage is organized around Labelbox Units (LBUs), with a Starter rate shown on the pricing calculator at $0.10 per LBU and billing based on actual monthly usage. The pricing calculator states that Catalog is billed monthly at 1 LBU per 60 data rows, Annotate is a one-time charge at 1 LBU per labeled data row, and Model is a one-time charge at 1 LBU per 5 data rows; it also says there is no payment required before signing up. The site says base labeling services start at $10 USD per hour, and that pricing can vary by task complexity and volume, with enterprise plans available and volume discounts possible.
Labelbox pros
- Combines labeling software and expert labeling services
- Supports reinforcement learning data creation
- Built-in model evaluation tools
- Supports multimodal chat evaluations
- Can compare up to 10 models in chat arena
- Includes model-assisted labeling
- Includes code and grammar critics
- Has auto-QA workflows
- Offers LLM-as-a-judge support
- Provides real-time quality analytics
- Includes consensus scoring
- Supports benchmark comparisons
- Custom workflows for review pipelines
- Custom ontologies for complex schemas
- Real-time collaboration across teams
- Supports computer vision tasks
- Supports NLP tasks
- Flexible custom labeling interface
- API and SDK integration support
- Imports data from 25+ sources without code
Labelbox cons
- Pricing is usage-based and can be complex to estimate
- Enterprise pricing is not publicly listed
- Advanced services may require sales contact
- Some labeling services are per-project add-ons
- Model inferencing can add extra costs
- Best fit is more enterprise and AI-lab oriented
- Many features are geared toward technical teams
- Pricing calculator relies on LBU accounting
- Free access is limited to qualified education use
- Managed services are not universal across plans
- Some integrations are paid-only features
- Custom workflows may require setup effort
- Advanced evaluation features may be overkill for small teams
- Specialized expert labeling can depend on availability
- Regional and domain-specific experts may need request-based access
Frequently asked questions about Labelbox
What is Labelbox used for?
Labelbox is used to create, label, manage, and evaluate data for AI systems. The website positions it as a platform for training data, reinforcement learning data, model evaluations, robotics data, and expert labeling services, all in one system.
Who is Labelbox for?
Labelbox is aimed at AI teams, AI labs, enterprises, and research groups that need high-quality data at scale. The site also highlights use cases for computer vision, NLP, frontier model evaluation, and specialized expert labeling across domains like software engineering, medicine, law, and finance.
Does Labelbox support model evaluation?
Yes. The platform includes multimodal chat evaluations, offline and live model comparisons, human preference tools, prompt and response generation, and leaderboard-style reporting. It is designed to help teams evaluate frontier and task-specific models before or after deployment.
What automation features does Labelbox include?
Labelbox includes built-in AI automation such as model-assisted labeling, code and grammar critics, auto-QA, and LLM-as-a-judge workflows. These features are meant to reduce manual effort, speed up labeling, and improve quality control.
Can Labelbox handle different data types?
Yes. The website says it supports diverse data types and tasks, including computer vision, NLP, and custom labeling experiences. It also mentions image labeling, video annotation, text classification, NER, sentiment analysis, and custom HTML rendering for labeling projects.
What quality controls does Labelbox offer?
Labelbox offers real-time analytics, benchmarking, consensus scoring, AI-assisted reviews, and Monitor dashboards. The platform is designed to help teams track label quality, compare against gold standards, and identify outliers across projects and team members.
Does Labelbox provide labeling services?
Yes. Labelbox offers on-demand and managed labeling services with experts and subject-matter specialists. The site says these services can include experts in more than 30 languages and knowledge workers across many domains, with managed services included on enterprise plans and self-service options available across plans.
How does Labelbox pricing work?
Labelbox pricing is usage-based around LBUs. The pricing calculator shows different consumption rules for Catalog, Annotate, and Model, while the site also states that educational use is free for qualified institutions and that base labeling services start at $10 per hour.
Is there a free version of Labelbox?
Yes, but the website specifically highlights a Free for education option for qualified educational institutions using the product for non-commercial research. The pricing page and calculator also indicate that you can start for free and that billing is based on usage.
What integrations and developer tools does Labelbox have?
Labelbox says its platform integrates with existing pipelines through APIs and an open-source Python SDK. It also states that users can import data from more than 25 sources without code and access tutorials in Google Colab and GitHub.