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End-to-end data labeling, object detection, and model training platform. Commonly used for ML ops and data augmentation workflows.
- Free dev tier: 5k annotations
- Enterprise: custom usage
- Focus on large annotation pipelines
Managed ML environment in the cloud with GPU/TPU for training. Includes data labeling support, object detection templates, etc.
- Free community notebooks
- Paid GPU usage from $0.40/hour
- Enterprise: custom solutions
Data science platform offering collaborative ML pipelines, autoML, MLOps, and built-in data labeling for enterprise AI projects.
- Free Edition: limited features
- Enterprise: custom licensing
- Focus on team collaboration
Experiment tracking, model registry, and collaboration tool for ML teams. Integrates with autoML frameworks & data labeling solutions.
- Free tier: public projects
- Pro: from $25/month
- Enterprise: custom usage
Cloud GPU hosting for ML with Gradient notebooks, auto-scaling deployments, and data labeling. Integrates autoML frameworks.
- Pay-as-you-go GPU usage
- Enterprise custom deals
- Focus on cloud compute & MLOps
Open-source training data platform for labeling images, video, text. Offers data augmentation hooks and MLOps integration.
- Community open source
- Enterprise: custom licensing
- Focus on self-hosted labeling
OCR and form data extraction service. Integrates with other AWS offerings for document automation workflows.
- Pay per page processed (from $1.50/1k pages)
- No free plan beyond trial
- Enterprise AWS usage
AI data capture platform for invoices and documents. Uses deep learning to parse structured/unstructured fields.
- Usage-based enterprise plans
- No free plan
- Focus on invoice automation
Human-in-the-loop data labeling platform covering OCR for documents, forms, ID cards. Provides robust annotation UIs.
- Custom project quotes
- No free tier
- Large-scale annotation solutions
Training data platform that supports labeling text regions in scanned docs/images. Integrates with OCR model workflows.
- Free Developer tier: limited
- Enterprise: custom
- Focus on labeling & model iteration