{"url":"/dataset/view-of-delft-1","name":"View-of-Delft","full_name":null,"description_markdown":"The View-of-Delft (VoD) dataset is a novel automotive dataset containing 8600 frames of synchronized and calibrated 64-layer LiDAR-, (stereo) camera-, and 3+1D radar-data acquired in complex, urban traffic. It consists of more than 123000 3D bounding box annotations, including more than 26000 pedestrian, 10000 cyclist and 26000 car labels.","description_withheld":null,"homepage":"https://intelligent-vehicles.org/datasets/view-of-delft/","introduced_date":"2022-04-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/multi-class-road-user-detection-with-3-1d","title":"Multi-Class Road User Detection With 3+1D Radar in the View-of-Delft Dataset","first_author":"Andras Palffy","url":null},"license":null,"modalities":[],"tasks":[{"name":"3D Object Detection","url":"/task/3d-object-detection","datasets_with_task":"/datasets/task/3d-object-detection"},{"name":"3D Object Detection (RoI)","url":"/task/3d-object-detection-roi","datasets_with_task":"/datasets/task/3d-object-detection-roi"}],"languages":[],"variants":["View-of-Delft","View-of-Delft (val)"],"data_loaders":[],"num_papers_in_archive":16,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/3d-object-detection-on-view-of-delft-val","task":"3D Object Detection","dataset_variant":"View-of-Delft (val)","rows":11,"metrics":["mAP"],"first_row_in_archive_order":{"model":"HyDRa","paper":"/paper/unleashing-hydra-hybrid-fusion-depth","metrics":{"mAP":"60.9"},"code_links":[{"title":"phi-wol/hydra","url":"https://github.com/phi-wol/hydra"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/radarnext-real-time-and-reliable-3d-object","title":"RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar","date":"2025-01-04","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/hgsfusion-radar-camera-fusion-with-hybrid","title":"HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection","date":"2024-12-16","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/rcbevdet-radar-camera-fusion-in-bird-s-eye","title":"RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection","date":"2024-03-25","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/smurf-spatial-multi-representation-fusion-for","title":"SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar","date":"2023-07-20","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/lxl-lidar-exclusive-lean-3d-object-detection","title":"LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion","date":"2023-07-03","rows_on_this_dataset":3,"code_links":0,"syntology":null},{"paper":"/paper/rcfusion-fusing-4-d-radar-and-camera-with","title":"RCFusion: Fusing 4-D Radar and Camera With Bird’s-Eye View Features for 3-D Object Detection","date":"2023-05-23","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/multi-class-road-user-detection-with-3-1d","title":"Multi-Class Road User Detection With 3+1D Radar in the View-of-Delft Dataset","date":"2022-04-01","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}