What is Epigos?
Epigos is an advanced computer vision platform that streamlines the entire AI development pipeline, from data annotation to model deployment. The platform provides sophisticated dataset management capabilities, intuitive image annotation tools, and powerful model training features utilizing hosted GPUs for optimal performance.
The platform offers managed infrastructure for seamless model deployment across various devices, including NVIDIA Jetson, iOS devices, OAK cameras, Raspberry Pi, and web browsers. Users can access professional data labeling services, with an expert team ensuring high-quality annotations while maintaining strict security standards.
Features
- Dataset Management: Advanced organization and control of training data with version control
- Image Annotation: Intuitive labeling tools with auto-label functionality
- Model Training: SOTA models with hosted GPU infrastructure
- Model Deployment: REST API and multi-platform deployment options
- Data Labeling Service: Professional annotation team with domain expertise
- SDK Integration: Support for Python and Node.js implementations
Use Cases
- Enterprise AI model development
- Automated image annotation
- Large-scale dataset management
- Edge device deployment
- Computer vision applications
- AI model training and optimization
FAQs
-
Can I test Epigos before making a purchase?
Yes, Epigos provides a complimentary trial version, enabling you to explore its features and capabilities before committing to a purchase. -
What types of data can be processed by Epigos?
Epigos has the capability to handle various data types, including images and medical imaging files. The platform supports most visual data formats, offering flexibility for diverse requirements. -
Is my data secure on Epigos?
Yes, Epigos prioritizes data security with utmost seriousness. Detailed information about data protection measures can be found in Epigos Data Processing & Security documentation.
Related Queries
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Epigos Uptime Monitor
Average Uptime
99.07%
Average Response Time
534.03 ms
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