{"url":"/dataset/infiniterep","name":"InfiniteRep","full_name":"InfiniteRep","description_markdown":"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.\r\n  \r\nThe dataset features:  \r\n  \r\n+ 100 videos per exercise, spanning 5 to 10 repetitions each (1,000 videos total) \r\n+ 7 unique indoor scenes\r\n+ Realistic environmental occlusion (+ corresponding labels)\r\n+ Diverse lighting conditions \r\n+ Varied body shape, skin tones, and clothing \r\n+ Rich annotations for 2D and 3D supervision  \r\n\r\n## Exercises \r\nThe dataset currently includes the following exercises:  \r\n\r\n+ Pushups  \r\n+ Alternating Bicep Curls (with dumbbells)  \r\n+ Delt Flys (with dumbbells)\r\n+ Squats\r\n+ Bird Dogs\r\n+ Supermans\r\n+ Bicycle Crunches\r\n+ Leg Raises\r\n+ Front Raises (with dumbbells)\r\n+ Overhead Press (with dumbbells)\r\n\r\n## Annotations \r\nThe dataset includes the following annotations:  \r\n\r\n+ Bounding boxes  \r\n+ Segmentation masks  \r\n+ Keypoints \r\n+ Joint angles (quaternions) \r\n+ Percent occlusion \r\n+ Avatar characteristics\r\n+ Camera position \r\n+ and more \r\n\r\nWant depth labels? They are not included in the dataset but we can send them to you. Email us at info@toinfinity.ai. \r\n\r\n## Download \r\nDownload the dataset: [toinfinity.ai/infiniterep ](https://toinfinity.ai/infiniterep)   \r\nGithub repo with additional documentation: [https://github.com/toinfinityai/InfiniteRep](https://github.com/toinfinityai/InfiniteRep)\r\n\r\n## Need more data? \r\nInfinity AI specializes in generating custom synthetic data. If you need more (or different data), drop us a line at info@toinfinity.ai (we read every email).","description_withheld":null,"homepage":"https://toinfinity.ai/infiniterep","introduced_date":"2022-02-03","introduced_date_note":null,"introduced_by":null,"license":{"name":"Creative Commons Attribution 4.0 International License","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"3D","url":"/datasets/modality/3d"},{"name":"Biomedical","url":"/datasets/modality/biomedical"},{"name":"3d meshes","url":"/datasets/modality/3d-meshes"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"},{"name":"Actions","url":"/datasets/modality/actions"},{"name":"Tracking","url":"/datasets/modality/tracking"},{"name":"RGB Video","url":"/datasets/modality/rgb-video"}],"tasks":[{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"Activity Recognition","url":"/task/activity-recognition","datasets_with_task":"/datasets/task/activity-recognition"},{"name":"2D Semantic Segmentation","url":"/task/2d-semantic-segmentation","datasets_with_task":"/datasets/task/2d-semantic-segmentation"},{"name":"3D Human Pose Estimation","url":"/task/3d-human-pose-estimation","datasets_with_task":"/datasets/task/3d-human-pose-estimation"},{"name":"3D Action Recognition","url":"/task/3d-human-action-recognition","datasets_with_task":"/datasets/task/3d-human-action-recognition"},{"name":"Action Detection","url":"/task/action-detection","datasets_with_task":"/datasets/task/action-detection"},{"name":"2D Human Pose Estimation","url":"/task/2d-human-pose-estimation","datasets_with_task":"/datasets/task/2d-human-pose-estimation"},{"name":"Action Classification","url":"/task/action-classification","datasets_with_task":"/datasets/task/action-classification"},{"name":"3D Absolute Human Pose Estimation","url":"/task/3d-absolute-human-pose-estimation","datasets_with_task":"/datasets/task/3d-absolute-human-pose-estimation"},{"name":"Pose Tracking","url":"/task/pose-tracking","datasets_with_task":"/datasets/task/pose-tracking"},{"name":"3D Human Pose Tracking","url":"/task/3d-human-pose-tracking","datasets_with_task":"/datasets/task/3d-human-pose-tracking"},{"name":"3D Instance Segmentation","url":"/task/3d-instance-segmentation-1","datasets_with_task":"/datasets/task/3d-instance-segmentation-1"},{"name":"3D Pose Estimation","url":"/task/3d-pose-estimation","datasets_with_task":"/datasets/task/3d-pose-estimation"},{"name":"3D Classification","url":"/task/3d-classification","datasets_with_task":"/datasets/task/3d-classification"},{"name":"Activity Recognition In Videos","url":"/task/activity-recognition-in-videos","datasets_with_task":"/datasets/task/activity-recognition-in-videos"},{"name":"Pose Prediction","url":"/task/pose-prediction","datasets_with_task":"/datasets/task/pose-prediction"},{"name":"Activity Prediction","url":"/task/activity-prediction","datasets_with_task":"/datasets/task/activity-prediction"},{"name":"Activity Detection","url":"/task/activity-detection","datasets_with_task":"/datasets/task/activity-detection"},{"name":"3D Human Dynamics","url":"/task/3d-human-dynamics","datasets_with_task":"/datasets/task/3d-human-dynamics"}],"languages":[],"variants":["InfiniteRep"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}