Humans in Context

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

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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.

High-Quality Synthetic Faces for Human-Centered Applications

Acquiring high-quality face datasets for your computer vision system training is a huge headache. Gathering and cleaning this data is time-consuming, expensive, and riddled with privacy issues. For face datasets, the challenge is confounded by the need to account for limitless combinations of facial structures, poses, hairstyles, and expressions, not to mention a huge range of lighting conditions (including low light or nighttime environments), and camera angles.

In-Cabin Humans in Motion

The Datagen Platform provides high quality, perfectly annotated visual data in the form of video and images, with accurate representations of the in-cabin environment, advanced motion and human-object interactions for tasks related to driver action analysis, body keypoint estimation, gaze analysis, and hand pose analysis. Teams can use the platform to generate faces and full body simulated data to quickly iterate on their model and improve its performance.

The platform offers various controls over:

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

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Textual Modalities

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

Visual Modalities

  • RGB
  • Depth map
  • Semantic segmentation
  • Normal map
  • Infrared

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

In-Cabin Automotive

Detailed sequences created specifically for Driver Monitoring 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, tasks such as human detection: coming in/leaving a room and 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.

Smart Fitness

Detailed sequences of people performing various exercises in fitness environments including multiple camera positions, body keypoints estimation, pose analysis, posture analysis, repetition counting, object identification and more.

Train, test, iterate, deploy. Repeat.

50K unique annotated identities, Granular control, on-demand generation.

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