Datature
Streamline computer vision model development from annotation to deployment
Target Audience
- AI engineers in manufacturing/healthcare
- Product teams managing visual data
- MLOps professionals
- Agritech startups
Hashtags
Overview
Datature provides an all-in-one platform to build AI vision models without coding. It helps teams manage datasets, label images/videos, train models, and deploy solutions faster. The tool is particularly useful for industries like healthcare, agriculture, and manufacturing needing efficient defect detection or object analysis.
Key Features
AI-Powered Annotation
Speed up image labeling with smart tools and external labellers
Automated Training
Train models like YOLOv8 with click-based workflows
Scalable Deployment
Deploy models as APIs with auto-scaling and security
Dataset Management
Version control & search for 2D/3D visual data
Developer Tools
Python SDK and CLI for custom integrations
Use Cases
Analyze medical imaging data
Detect manufacturing defects
Monitor crop health
Automate retail inventory checks
Optimize smart city surveillance
Pros & Cons
Pros
- All-in-one platform reduces tool fragmentation
- No-code interface for non-technical users
- Enterprise-ready scalability
- Real-time model performance insights
Cons
- Free tier limited to 300 images/300 GPU minutes
- Primarily focused on computer vision (not other AI types)
- Requires some ML knowledge for advanced customization
Pricing Plans
Free Plan
monthlyFeatures
- 300 images with unlimited annotations
- 300 GPU training minutes
- Slack & email support
- Basic model deployment
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
What's included in the free plan?
300 images, 300 GPU training minutes, and basic support for model development
What model architectures are supported?
Ultralytics YOLOv8 and other industry-tested architectures
Can I export trained models?
Yes – supports TensorFlow, ONNX, PyTorch, and other formats
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