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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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  1. Application User Guides

Overview

PreviousRendered.ai Licensing and OfferingsNextQuick Start Guide

Last updated 9 months ago

The Rendered.ai platform provides an end-to-end solution for generating physics-based synthetic data for training AI models. The diagram below shows the architecture of the platform. The items in blue represent pieces that require configuration of the open-source Ana codebase upon which a custom channel is built. For more information on how this is done, see our .

The items in green represent parts of the platform that are managed using the Rendered.ai web application. The following guides will discuss what these elements are, and how the can be used to build synthetic data that is tailored to your application.

Rendered.ai Platform

Get started with an overview of the Rendered.ai web interface to the platform and its components. Here you will learn about creating an organization, workspaces, graphs and datasets.

From there, dive into the details on graphs, datasets, and collaborating within the platform.

Get started with the Rendered.ai web interface:

Learn how to develop graphs within your workspace:

Understand the outputs of the process and how they are configured:

Work with others to share and improve your data:

Quick Start Guide
Creating and Using Graphs
Creating and Using Datasets
Collaboration
Development Guides