Labelbox AI
Labelbox / labelbox.com
AI-powered training data platform for creating, managing, and curating labelled datasets with AI-assisted annotation, quality management, and foundation model evaluation for machine learning teams.
Pricing
Free
Free plan
Yes
Category
Developer Tools
Platforms
3
Free plan
Yes
API access
Yes
Open source
No
Platforms
3
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What is Labelbox AI?
Labelbox is the leading AI training data platform providing infrastructure for creating, managing, and curating labelled datasets — the foundation of ML model training. As AI development scales, training data quality and management becomes a critical bottleneck.
AI-assisted labelling uses model predictions to pre-label data that human annotators review and correct — dramatically reducing per-label human time for image segmentation, object detection, and NLP annotation tasks.
Label quality management provides workflows for annotation review, inter-annotator agreement measurement, and label error detection — systematic quality management that determines downstream model accuracy.
Catalog provides searchable, versioned storage for labelled datasets — enabling teams to find, subset, and audit training data across projects. For ML teams with large growing datasets, systematic data management prevents drift and audit failures.
Foundation model evaluation tests how models perform on specific tasks before and after fine-tuning — standardised evaluation frameworks that quantify model quality improvements.
With customers including Databricks, Volvo, and Recursion, Labelbox validates across technology, automotive, and pharmaceutical AI development.
How Labelbox AI works
Labelbox AI runs as ml platform software built around image and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, python, and api, with API access for teams that want to embed it into their own products.
Watch Labelbox AI in action
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What makes it worth shortlisting
The capabilities that matter most for teams evaluating Labelbox AI.
AI-assisted labelling
Model pre-annotations that humans review and correct — reducing annotation time while maintaining accuracy for image, video, text, and NLP labelling tasks.
Label quality management
Annotation review workflows, inter-annotator agreement measurement, and label error detection — systematic quality assurance ensuring training data that produces accurate ML models.
Multi-modal annotation
Image, video, text, audio, and LiDAR labelling in one platform — covering the full range of data modalities required for modern AI model training.
Best use cases
Who should use it
Pros
- Databricks, Volvo, and Recursion validate across technology, automotive, and pharmaceutical AI
- AI-assisted labelling dramatically reduces per-label annotation time with model pre-annotation
- Free plan with 5K rows enables ML teams to evaluate without payment commitment
- Multi-modal annotation covers image, video, text, audio, and LiDAR for comprehensive training data needs
Cons
- 5K free rows is limited for serious ML projects requiring paid subscription
- Training data quality management requires annotation workforce coordination alongside the platform
- Competing with Scale AI (covered), Snorkel AI (rank 640), and cloud provider labelling for training data
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Is it worth the price?
Free plan (5K data rows). Starter $500/month. Business custom. Enterprise custom. 14-day trial.
Model
Freemium
Starting price
Free
Free trial
No
Tools like Labelbox AI
Scale AI (covered) provides enterprise training data at larger scale. Snorkel AI (rank 640) provides programmatic labelling. V7 Labs provides computer vision annotation. Roboflow (covered) provides computer vision dataset management.
Labelbox AI vs Hugging Face
A side-by-side look at the closest alternative in this category.
Labelbox AI
Labelbox
Hugging Face
Hugging Face
Free plan (5K data rows). Starter $500/month. Business custom. Enterprise custom. 14-day trial.
Free for most models and Spaces. Pro $9/month for private models, priority inference, and ZeroGPU. Enterprise Hub from $20/user/month for team collaboration and security.
SOC 2 Type II. ISO 27001. GDPR compliant. HIPAA eligible. Enterprise data handling agreements.
Enterprise Hub includes SSO, access controls, audit logs, and private infrastructure. SOC 2 compliant.
Training data and annotation work processed on Labelbox's infrastructure. Review data handling for sensitive training datasets including personal or proprietary data.
Public models and datasets are openly accessible. Enterprise Hub provides private model storage with data handling agreements. Review individual model licences before commercial deployment.
- Databricks, Volvo, and Recursion validate across technology, automotive, and pharmaceutical AI
- AI-assisted labelling dramatically reduces per-label annotation time with model pre-annotation
- Free plan with 5K rows enables ML teams to evaluate without payment commitment
- Multi-modal annotation covers image, video, text, audio, and LiDAR for comprehensive training data needs
- De facto standard hub for open source AI models with 500,000+ available
- Transformers library provides consistent API for diverse model families
- Spaces enable easy demo deployment without web infrastructure
- Free for public models and strong community support
- 5K free rows is limited for serious ML projects requiring paid subscription
- Training data quality management requires annotation workforce coordination alongside the platform
- Competing with Scale AI (covered), Snorkel AI (rank 640), and cloud provider labelling for training data
- Technical platform primarily for developers and researchers
- Inference API quality varies for very large or complex models
- Navigation complexity increases with scale of the platform
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
Labelbox
Platforms
Web, Python, API
Deployment
SaaS
Integrations
Google Cloud, AWS, Azure, Databricks, API
Team Collaboration
Yes
Launch Year
2022
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. HIPAA eligible. Enterprise data handling agreements.
Training data and annotation work processed on Labelbox's infrastructure. Review data handling for sensitive training datasets including personal or proprietary data.
What users are saying
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Common questions about Labelbox AI
Editorial Verdict
Should you use Labelbox AI?
Labelbox is the best AI training data platform for ML teams wanting model-assisted labelling, quality management, and multi-modal training dataset curation across the full range of AI modalities.
Last verified July 24, 2026.