InfiniteRep is a synthetic, open-source dataset for fitness and physical therapy (PT) applications. It includes 1k videos of diverse avatars performing multiple repetitions of common exercises. It includes significant variation in the environment, lighting conditions, avatar demographics, and movement trajectories. From cadence to kinematic trajectory, each rep is done slightly differently -- just like real humans. InfiniteRep videos are accompanied by a rich set of pixel-perfect labels and annotations, including frame-specific repetition counts.

The dataset features:

  • 100 videos per exercise, spanning 5 to 10 repetitions each (1,000 videos total)
  • 7 unique indoor scenes
  • Realistic environmental occlusion (+ corresponding labels)
  • Diverse lighting conditions
  • Varied body shape, skin tones, and clothing
  • Rich annotations for 2D and 3D supervision


The dataset currently includes the following exercises:

  • Pushups
  • Alternating Bicep Curls (with dumbbells)
  • Delt Flys (with dumbbells)
  • Squats
  • Bird Dogs
  • Supermans
  • Bicycle Crunches
  • Leg Raises
  • Front Raises (with dumbbells)
  • Overhead Press (with dumbbells)


The dataset includes the following annotations:

  • Bounding boxes
  • Segmentation masks
  • Keypoints
  • Joint angles (quaternions)
  • Percent occlusion
  • Avatar characteristics
  • Camera position
  • and more

Want depth labels? They are not included in the dataset but we can send them to you. Email us at


Download the dataset:
Github repo with additional documentation:

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