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  • TABLE OF CONTENTS
  • General Concepts
    • Overview
    • Introduction to Rendered.ai
    • The Rendered.ai Platform
    • Who Uses Rendered.ai?
    • Rendered.ai Licensing and Offerings
  • Application User Guides
    • Overview
    • Quick Start Guide
      • Terminology
      • Content Codes
      • Getting Started with the SDK
    • Tutorials
      • Organization and Workspace Resources
      • Creating and Using Graphs
        • Graph Validation
        • Graph Best Practices
      • Creating and Using Datasets
        • Dataset Annotations
        • Dataset Analytics
        • Domain Adaptation
        • Dataset Comparison
        • Training and Inference
        • Mixing Datasets
        • Dataset Best Practices
      • Creating and Using Volumes
        • Inpaint Service
      • Collaboration
  • Development Guides
    • Overview
    • Ana Software Architecture
      • Basic components
      • Graphs
      • Channels
      • Packages
      • Package Volumes
      • Nodes
      • Schema
      • Ana Modules, Classes, and Functions
      • The anatools Package
      • Graph Validation
        • Typical Validation Use Cases
      • Preview
      • In-tool Help
    • Setting Up the Development Environment
      • Local Development With NVIDIA GPUs
      • Remote Development With AWS EC2
    • Deploying a Channel
    • An Example Channel - Toybox
      • Run and Deploy the Toybox Channel
      • Add a Modifier Node
      • Add a Generator Node
  • Open Source Channels
    • Toybox
    • DIRSIG Channel
  • Release Notes
    • Rendered.ai Platform
      • Platform Version 1.6.0
      • Platform Version 1.5.0
      • Platform Version 1.4.1
      • Platform Version 1.4.0
      • Platform Version 1.3.2
      • Platform Version 1.3.1
      • Platform Version 1.3.0
      • Platform Version 1.2.6
      • Platform Version 1.2.5
      • Platform Version 1.2.4
      • Platform Version 1.2.3
      • Platform Version 1.2.2
      • Platform Version 1.2.1
      • Platform Version 1.2.0
      • Platform Version 1.1.5
      • Platform Version 1.1.4
      • Platform Version 1.1.3
      • Platform Version 1.1.2
      • Platform Version 1.1.1
      • Platform Version 1.1.0
      • Platform Version 1.0.3
      • Platform Version 1.0.2
      • Platform Version 1.0.1
      • Platform Version 1.0.0
      • Platform Version 0.3.4.4
      • Platform Version 0.3.4.3
      • Platform Version 0.3.4.2
      • Platform Version 0.3.4.1
      • Platform Version 0.3.4
      • Platform Version 0.3.3.1
      • Platform Version 0.3.3
      • Platform Version 0.3.2.2
      • Platform Version 0.3.2.1
      • Platform Version 0.3.2
      • Platform Version 0.3.1.6
      • Platform Version 0.3.1.5
      • Platform Version 0.3.1.4
      • Platform Version 0.3.1.3
      • Platform Version 0.3.1.2
      • Platform Version 0.3.1
      • Platform Version 0.3.0.9
      • Platform Version 0.3.0.8
      • Platform Version 0.3.0.7
      • Platform Version 0.3.0.6
      • Platform Version 0.3.0.5
      • Platform Version 0.3.0
      • Platform Version 0.2.15
      • Platform Version 0.2.14
      • Platform Version 0.2.13
      • Platform Version 0.2.12
      • Platform Version 0.2.11
      • Platform Version 0.2.10
      • Platform Version 0.2.9
      • Platform Version 0.2.8
      • Platform Version 0.2.7
      • Platform Version 0.2.6
      • Platform Version 0.2.5
      • Platform Version 0.2.4
      • Platform Version 0.2.3
      • Platform Version 0.2.2
      • Platform Version 0.2.1
      • Platform Version 0.2.0
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  • Step-by-Step Learning Path
  • What is Rendered.ai?
  • What can I do with Rendered.ai?
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  1. General Concepts

Overview

PreviousTABLE OF CONTENTSNextIntroduction to Rendered.ai

Last updated 1 year ago

Step-by-Step Learning Path

Not sure where to start? Here’s a quick overview of where to go to learn more about synthetic data, get started with Rendered.ai, and learn how to add and build your own content.

What is Rendered.ai?

We have some great getting started content to help you learn about the basics of what we do, why, and what we offer.

Learn about Rendered.ai and why you need a PaaS for Synthetic Data:

Find out more about what comes with the Rendered.ai Platform:

Learn about workflows for synthetic data engineers and data scientists:

Use this guide for common terms:

What can I do with Rendered.ai?

Get started with a Content Code to explore a Synthetic Data application:

Find out what you can do with Graphs and Datasets using our web-based interface:

Explore our Development Guides to get started coding your own channels and adding content to generate synthetic data:

Introduction to Rendered.ai
The Rendered.ai Platform
Who uses Rendered.ai?
Terminology
Content Codes
Quick Start Guide
Development Guides