Humans in Context

The Datagen Humans in Context generator allows users
to create datasets of people within different environments

The Datagen Humans In Context generator allows you to create datasets of behavior-based sequences.

Each sequence is a 10-second recording generated in 15-30 FPS, presenting a human interacting with a specific environment.

The platform offers various controls over:

  • Identity
  • Scene – camera location, camera intrinsic, lighting and background

For each render you receive full ground-truth annotations:

Visual Modalities

  • RGB
  • Depth

Textual Modalities

  • Face keypoints
  • Face dense keypoints
  • Hands keypoints
  • Body keypoints
  • Foot keypoints
  • Actor metadata
  • Camera metadata

The Humans in Context generator offers behaviors in a variety of domains

In-Cabin Automotive

Detailed sequences created specifically for Driver Monitor Systems, to explore computer vision tasks such as human detection, human pose estimation, attention analysis, and drowsiness detection.

Smart Office

Detailed sequences of conference rooms and home-office environments, including multiple camera positions, to explore tasks such as human detection: coming in/leaving a room, human pose estimation: standing up, sitting down, leaning forward, attention analysis, and more.

Home Security

Detailed sequences created specifically for human detection to explore computer vision tasks such as motion detection, pose estimation and object detection.

Resources

Synthetic Data: Key to Production-Ready AI in 2022

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Implementing Data-Centric Methodology with Synthetic Data

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The Power of Synthetic Data: Everything You Need to Know

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Human-Centric Synthetic Data: Research and Applications

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