{"url":"/dataset/g3d","name":"G3D","full_name":"Gaming 3D Dataset","description_markdown":"The Gaming 3D Dataset (**G3D**) focuses on real-time action recognition in a gaming scenario. It contains 10 subjects performing 20 gaming actions: “punch right”, “punch left”, “kick right”, “kick left”, “defend”, “golf swing”, “tennis swing forehand”, “tennis swing backhand”, “tennis serve”, “throw bowling ball”, “aim and fire gun”, “walk”, “run”, “jump”, “climb”, “crouch”, “steer a car”, “wave”, “flap” and “clap”.\r\n\r\nSource: [Skeleton Based Action Recognition Using Translation-Scale Invariant Image Mapping And Multi-Scale Deep CNN](https://arxiv.org/abs/1704.05645)\r\nImage Source: [G3D: A gaming action dataset and real time action recognition evaluation framework](https://doi.org/10.1109/CVPRW.2012.6239175)","description_withheld":null,"homepage":"http://velastin.dynu.com/G3D/G3D.html","introduced_date":"2012-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"G3D: A gaming action dataset and real time action recognition evaluation framework","first_author":null,"url":"https://doi.org/10.1109/CVPRW.2012.6239175"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Skeleton Based Action Recognition","url":"/task/skeleton-based-action-recognition","datasets_with_task":"/datasets/task/skeleton-based-action-recognition"},{"name":"Pose Prediction","url":"/task/pose-prediction","datasets_with_task":"/datasets/task/pose-prediction"}],"languages":[],"variants":["Gaming 3D (G3D)","G3D"],"data_loaders":[],"num_papers_in_archive":28,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/skeleton-based-action-recognition-on-gaming","task":"Skeleton Based Action Recognition","dataset_variant":"Gaming 3D (G3D)","rows":4,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"CNN","paper":"/paper/action-recognition-based-on-joint-trajectory","metrics":{"Accuracy":"96.0"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/pose-prediction-on-gaming-3d-g3d","task":"Pose Prediction","dataset_variant":"Gaming 3D (G3D)","rows":2,"metrics":["MSE","MAE"],"first_row_in_archive_order":{"model":"PISEP^2 (L1 norm)","paper":"/paper/pisep2-pseudo-image-sequence-evolution-based","metrics":{"MAE":"1.1101","MSE":"0.1199"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/subspace-clustering-for-action-recognition","title":"Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning","date":"2020-06-21","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/pisep2-pseudo-image-sequence-evolution-based","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","date":"2019-09-04","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/bayesian-hierarchical-dynamic-model-for-human","title":"Bayesian Hierarchical Dynamic Model for Human Action Recognition","date":"2019-06-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/action-recognition-based-on-joint-trajectory","title":"Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks","date":"2016-12-30","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/rolling-rotations-for-recognizing-human-1","title":"Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data","date":"2016-06-27","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"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."}