V7 Darwin is an AI data labeling and ML training data platform that allows for programmatic management of datasets and annotation workflows. By integrating with Relevance AI, you can supercharge your data operations with advanced AI capabilities and streamlined automation.
V7 Darwin provides a robust platform for AI data labeling and ML training data management. With Relevance AI, you can leverage intelligent AI Agents to automate and optimize your data processes, ensuring efficiency and accuracy.
Visual Intelligence Mastery
Empowers the AI agent with advanced computer vision capabilities for real-time image and video analysis across diverse scenarios.
Intelligent Decision Architecture
Creates sophisticated decision frameworks based on visual inputs for autonomous response and action execution.
Adaptive Learning Enhancement
Leverages automated data labeling and active learning to continuously improve visual recognition accuracy and performance.
Relevance AI seamlessly integrates with V7 Darwin to enhance your data labeling workflows.
What you’ll need
You don't need to be a developer to set up the V7 Darwin and Relevance AI integration. Follow this simple guide to get started:
- A V7 Darwin account with appropriate permissions
- A Relevance AI account with API access enabled
- Authorization credentials (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The V7 Darwin integration utilizes secure OAuth authentication, ensuring that only authorized workflows can access your AI data labeling and ML training data. Relevance AI manages API operations (such as GET, POST, PUT, DELETE, PATCH) seamlessly, allowing you to focus on your data without worrying about errors, formatting, or limits.
With built-in validation and type conversion, your workflows will operate smoothly, even when dealing with varying data formats. This integration streamlines dataset management, enhances annotation workflows, and provides flexible API access for custom implementations.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
To get the most out of the V7 Darwin + Relevance AI integration without writing code:
- Start with a clear dataset structure: Use descriptive names and consistent formats for your datasets and annotations.
- Utilize pre-built workflows: Relevance AI provides templates for managing datasets and annotations, making it easier to get started.
- Authenticate securely: Ensure you use the correct OAuth credentials and permission scopes during setup.
- Test API calls with sample data: Validate your API requests on a small scale before applying them to larger datasets.
- Monitor API usage: Keep an eye on rate limits and implement throttling to avoid hitting usage caps.
