{"url":"/dataset/occ3d","name":"Occ3D","full_name":null,"description_markdown":"**Occ3D** is a dataset for 3D occupancy prediction, which aims to estimate the detailed occupancy and semantics of objects from multi-view images. To facilitate this task, a label generation pipeline that produces dense, visibility-aware labels for a given scene. This pipeline includes point cloud aggregation, point labeling, and occlusion handling.\r\n\r\nSource: [Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving](https://arxiv.org/pdf/2304.14365v1.pdf)\r\n\r\nImage Source: [Occ3D - Github Repo](https://github.com/Tsinghua-MARS-Lab/Occ3D)","description_withheld":null,"homepage":"https://github.com/Tsinghua-MARS-Lab/Occ3D","introduced_date":"2023-04-27","introduced_date_note":null,"introduced_by":null,"license":{"name":"Apache-2.0 license","url":"https://github.com/Tsinghua-MARS-Lab/Occ3D/blob/master/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Prediction Of Occupancy Grid Maps","url":"/task/prediction-of-occupancy-grid-maps","datasets_with_task":"/datasets/task/prediction-of-occupancy-grid-maps"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Occ3D","Occ3D-nuScenes"],"data_loaders":[],"num_papers_in_archive":44,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/prediction-of-occupancy-grid-maps-on-occ3d","task":"Prediction Of Occupancy Grid Maps","dataset_variant":"Occ3D-nuScenes","rows":8,"metrics":["mIoU"],"first_row_in_archive_order":{"model":"DAOcc","paper":"/paper/daocc-3d-object-detection-assisted-multi","metrics":{"mIoU":"53.82"},"code_links":[{"title":"alphaplustt/daocc","url":"https://github.com/alphaplustt/daocc"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/daocc-3d-object-detection-assisted-multi","title":"DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy Prediction","date":"2024-09-30","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/unleashing-hydra-hybrid-fusion-depth","title":"Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception","date":"2024-03-12","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/fb-occ-3d-occupancy-prediction-based-on","title":"FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation","date":"2023-07-04","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/multi-scale-occ-4th-place-solution-for-cvpr","title":"Multi-Scale Occ: 4th Place Solution for CVPR 2023 3D Occupancy Prediction Challenge","date":"2023-06-20","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/uniocc-unifying-vision-centric-3d-occupancy","title":"UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering","date":"2023-06-15","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."}