{"url":"/dataset/apidis","name":"APIDIS","full_name":null,"description_markdown":"# Data\r\n\r\nApproximatively 2 hours of videos were captured from 7 viewpoints during a professional basketball game.\r\n\r\n**Raw data**\r\n\r\nThe cameras were recording at almost 22 fps in average, with a resolution of 1600x1200 pixels. The video files are available in their native format, i.e. one motion jpeg file (~300 MB) per minute per camera.\r\n\r\n**Pseudo-synchronised video**\r\n\r\nA pseudo synchronised dataset is provided by resampling the raw videos at 25 fps (using the closest available frame) with a resolution of 800x600 pixels. The video files are available as one MPEG-4 file (between 28 MB and 56 MB) per minute per camera. For optimal timestamps accuracy, the original dataset should be prefered.\r\n\r\n# Annotations\r\n\r\n**Timestamps**\r\n\r\nAll timestamps are expressed in seconds since Epoch when provided as integers. When provided in a human readable format, e.g. in filenames, they follow the <a href=\"http://en.wikipedia.org/wiki/ISO_8601\">ISO 8601</a> date/time syntax.\r\n\r\n**Calibration**\r\n\r\nAll cameras are <a href=\"http://www.arecontvision.com/\">Arecont Vision</a> AV2100M IP cameras (<a href=\"http://www.arecontvision.com/resources.php?pid=106\">datasheet</a>). The fish-eye lenses used for the top view cameras are <a href=\"http://www.fujinon.com\">Fujinon</a> FE185C086HA-1 lenses (<a href=\"http://www.fujifilmusa.com/products/optical_devices/security/fish-eye/5-mp/fe185c086ha-1/\">datasheet</a>). Each camera was indivually calibrated into a common world coordinate system.\r\n\r\n**Additional annotations**\r\n\r\nSeveral manually annotated objects are provided (see NEM'08 summit paper):\r\n- Basket ball events like ball possession periods, throws, violations ; for the whole basketball game\r\n- Ball, Players and referees position ; for one minute of the game.\r\n\r\nAnnotated events and salient-objects are recorded into two kinds of XML files whose syntax is described in the XML Schema Definition (xsd) files `apidis-annotation-ver23.xsd` and `apidis-salientobj-ver1.xsd`. A simplified structural diagram of event xml files is illustrated in `event-xml-simple.png`.\r\nThe tags for describing the detected objects and their properties are illlustrated in `salient-obj-xml.png`.\r\n\r\nBall was annotated in the 2D images on every camera where it was visible. An approximate 3D localization is inferred for the pseudo-synchronized dataset.\r\n\r\n\r\n\r\n# Terms of use:\r\nThis dataset is available for non-commercial research in video signal processing only. We kindly ask you to mention the APIDIS project when using this dataset (in publications, video demonstrations...).\r\n\r\n# Acknowledgements\r\nWe would like to thank Jean-François Prior (<a href=\"http://www.belfiusnamurcapitale.be/\">Dexia Namur</a> basket ball team), Philippe Delmulle <a href=\"http://www.dbcwaregem.be/\">Declercq Stortbeton Waregem</a> basket ball team) and the city of <a href=\"http://www.namur.be/\">Namur</a> for their authorisations and technical help collecting this dataset.","description_withheld":null,"homepage":"https://ispgroup.gitlab.io/code/apidis/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["APIDIS"],"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."}