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Rosepetal AIDocumentation

Comprehensive documentation for Rosepetal AI platform, tools and integrations

Platform
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Platform

Rosepetal AI platform for datasets, labeling, and training machine learning models

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Flows

Node-RED tools including image processing, Python execution and Rosepetal integrations

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Controller

Main controller system for managing and orchestrating Rosepetal AI operations

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API Documentation

Complete API reference and endpoints for Rosepetal AI services

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Support

Get help and support from the Rosepetal AI team

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GitHub Support

Access source code, report issues, and contribute to the project

Documentation Overview ​

Platform ​

The main Rosepetal AI platform providing a complete interface for dataset management, image labeling, model training and monitoring.

Key Features:

  • Dataset creation and management
  • Image labeling and annotation tools
  • Model training and evaluation
  • Dashboard and monitoring

Flows ​

Node-RED integration tools and custom nodes for AI workflows:

Controller ​

The central controller that manages and coordinates all Rosepetal AI system components and services.

API Documentation ​

Complete REST API documentation, endpoints reference and integration guides for developers.

Getting Started ​

  1. Platform Setup: Start with the Platform documentation for system setup
  2. Flows Integration: Explore Node-RED tools for workflow automation
  3. API Integration: Use the API documentation for custom integrations
  4. System Management: Configure and manage with the Controller