{"url":"/dataset/songdo-vision","name":"Songdo Vision","full_name":"Songdo Vision: Vehicle Annotations from High-Altitude BeV Drone Imagery in a Smart City","description_markdown":"The **Songdo Vision** dataset provides **high-resolution (4K, 3840×2160 pixels) RGB images** annotated with categorized **axis-aligned bounding boxes (BBs)** for vehicle detection from a **high-altitude bird’s-eye view (BeV)** perspective. Captured over **Songdo International Business District, South Korea**, this dataset consists of **5,419 annotated video frames**, featuring approximately **300,000 vehicle instances** categorized into **four classes**:  \r\n\r\n- **Car** (including vans and light-duty vehicles)  \r\n- **Bus**  \r\n- **Truck**  \r\n- **Motorcycle**","description_withheld":null,"homepage":"https://doi.org/10.5281/zenodo.13828408","introduced_date":"2025-03-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/advanced-computer-vision-for-extracting","title":"Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery","first_author":"Robert Fonod","url":null},"license":{"name":"CC-BY-4.0","url":"https://zenodo.org/records/13828408/files/LICENSE.txt?download=1"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Tabular","url":"/datasets/modality/tabular"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Songdo Vision"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/object-detection-on-songdo-vision","task":"Object Detection","dataset_variant":"Songdo Vision","rows":1,"metrics":["Precision","Recall","mAP@50","mAP@50-95"],"first_row_in_archive_order":{"model":"Geo-trax","paper":"/paper/advanced-computer-vision-for-extracting","metrics":{"Precision":"0.911","Recall":"0.935","mAP@50":"0.951","mAP@50-95":"0.711"},"code_links":[{"title":"rfonod/geo-trax","url":"https://github.com/rfonod/geo-trax"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/advanced-computer-vision-for-extracting","title":"Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery","date":"2024-11-04","rows_on_this_dataset":1,"code_links":1,"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."}