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 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
