{"id":"https://openalex.org/W3135391438","doi":"https://doi.org/10.1109/icce-berlin50680.2020.9352154","title":"UrTra2D \u2013 Urban Traffic 2D Object Detection Dataset","display_name":"UrTra2D \u2013 Urban Traffic 2D Object Detection Dataset","publication_year":2020,"publication_date":"2020-11-09","ids":{"openalex":"https://openalex.org/W3135391438","doi":"https://doi.org/10.1109/icce-berlin50680.2020.9352154","mag":"3135391438"},"language":"en","primary_location":{"id":"doi:10.1109/icce-berlin50680.2020.9352154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-berlin50680.2020.9352154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042783963","display_name":"Borna Jeli\u0107","orcid":"https://orcid.org/0000-0003-3075-8210"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Borna Jelic","raw_affiliation_strings":["Institute RT-RK Osijek LLC for Information Technology,Osijek,Croatia","Institute RT-RK Osijek LLC for Information Technology, Osijek, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute RT-RK Osijek LLC for Information Technology,Osijek,Croatia","institution_ids":[]},{"raw_affiliation_string":"Institute RT-RK Osijek LLC for Information Technology, Osijek, Croatia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089961424","display_name":"Ratko Grbi\u0107","orcid":"https://orcid.org/0000-0002-9525-8535"},"institutions":[{"id":"https://openalex.org/I51314090","display_name":"University of Osijek","ror":"https://ror.org/05sw4wc49","country_code":"HR","type":"education","lineage":["https://openalex.org/I51314090"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Ratko Grbic","raw_affiliation_strings":["Josip Juraj Strossmayer University of Osijek,Faculty of Electrical Engineering,Computer Science and Information Technology Osijek,Osijek,Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Josip Juraj Strossmayer University of Osijek,Faculty of Electrical Engineering,Computer Science and Information Technology Osijek,Osijek,Croatia","institution_ids":["https://openalex.org/I51314090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051631308","display_name":"Mario Vranje\u0161","orcid":"https://orcid.org/0000-0003-3563-4735"},"institutions":[{"id":"https://openalex.org/I51314090","display_name":"University of Osijek","ror":"https://ror.org/05sw4wc49","country_code":"HR","type":"education","lineage":["https://openalex.org/I51314090"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Mario Vranjes","raw_affiliation_strings":["Josip Juraj Strossmayer University of Osijek,Faculty of Electrical Engineering,Computer Science and Information Technology Osijek,Osijek,Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Josip Juraj Strossmayer University of Osijek,Faculty of Electrical Engineering,Computer Science and Information Technology Osijek,Osijek,Croatia","institution_ids":["https://openalex.org/I51314090"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063161603","display_name":"Milan Z. Bjelica","orcid":"https://orcid.org/0000-0002-9111-0154"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Milan Bjelica","raw_affiliation_strings":["University of Novi Sad,Faculty of Technical Sciences,Novi Sad,Serbia","Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Novi Sad,Faculty of Technical Sciences,Novi Sad,Serbia","institution_ids":["https://openalex.org/I170726198"]},{"raw_affiliation_string":"Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.20810134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.723623514175415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7154779434204102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6750468015670776},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.657305121421814},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6453443169593811},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6203994750976562},{"id":"https://openalex.org/keywords/realisation","display_name":"Realisation","score":0.5403241515159607},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5222705006599426},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5219789743423462},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5063794851303101},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4025322496891022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.19752922654151917},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14424309134483337}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.723623514175415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7154779434204102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6750468015670776},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.657305121421814},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6453443169593811},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6203994750976562},{"id":"https://openalex.org/C2779462738","wikidata":"https://www.wikidata.org/wiki/Q17146409","display_name":"Realisation","level":2,"score":0.5403241515159607},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5222705006599426},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5219789743423462},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5063794851303101},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4025322496891022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.19752922654151917},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14424309134483337},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-berlin50680.2020.9352154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-berlin50680.2020.9352154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2150066425","https://openalex.org/W2333854203","https://openalex.org/W2340897893","https://openalex.org/W2769275540","https://openalex.org/W2791175987","https://openalex.org/W2799352588","https://openalex.org/W2802679057","https://openalex.org/W2803740064","https://openalex.org/W2890748873","https://openalex.org/W2908394416","https://openalex.org/W2909262244","https://openalex.org/W2910922521","https://openalex.org/W2925148167","https://openalex.org/W2962951509","https://openalex.org/W2965232632","https://openalex.org/W2995681297","https://openalex.org/W3016404858","https://openalex.org/W3035172746","https://openalex.org/W3035574168","https://openalex.org/W6750749703","https://openalex.org/W6757802204","https://openalex.org/W6760782946","https://openalex.org/W6771941581","https://openalex.org/W6776142756"],"related_works":["https://openalex.org/W2961288924","https://openalex.org/W2810895613","https://openalex.org/W2075250579","https://openalex.org/W2789329261","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W4254103348"],"abstract_inverted_index":{"With":[0],"progress":[1],"being":[2],"made":[3,23],"in":[4,57,86,149,154,170],"the":[5,36,51,58,62,136,147,150,185],"field":[6],"of":[7,29,39,50,55,118,146,152],"artificial":[8],"intelligence":[9],"and":[10,15,22,41,81,143,161],"especially":[11],"machine":[12],"learning,":[13],"tech":[14],"vehicle":[16],"companies":[17],"acquired":[18],"a":[19,24,30,78,88],"powerful":[20,43],"tool":[21],"large":[25,80],"step":[26],"towards":[27],"realisation":[28],"fully":[31],"autonomous":[32],"vehicle.":[33,137],"Along":[34],"with":[35,130],"exploding":[37],"development":[38],"more":[40,42],"hardware,":[44],"deep":[45,73,97],"learning":[46,74],"has":[47],"become":[48],"one":[49],"most":[52],"dominant":[53],"fields":[54],"research":[56,186],"automotive":[59],"domain,":[60],"succeeding":[61],"classical":[63],"computer":[64],"vision":[65],"methods.":[66],"However,":[67],"to":[68,71,76,184],"be":[69],"able":[70],"apply":[72],"methods":[75],"solve":[77],"problem,":[79],"appropriate":[82],"datasets":[83],"are":[84,164],"required":[85],"developing":[87],"solution,":[89],"as":[90],"there":[91],"is":[92,109,112,181],"never":[93],"enough":[94],"data":[95,127],"for":[96,114,122],"learning.":[98],"In":[99],"this":[100],"paper,":[101],"Urban":[102],"Traffic":[103],"2D":[104,116],"Object":[105],"Detection":[106],"(UrTra2D)":[107],"dataset":[108,139,180],"presented,":[110],"which":[111],"intended":[113],"training":[115],"detectors":[117],"specific":[119],"objects":[120,174],"common":[121],"urban":[123],"traffic":[124,148],"scenes.":[125],"The":[126,138,178],"was":[128],"recorded":[129],"an":[131],"affordable":[132],"camera":[133],"mounted":[134],"inside":[135],"contains":[140],"video":[141],"sequences":[142],"labelled":[144,167,173],"frames":[145],"city":[151],"Osijek":[153],"different":[155],"weather":[156],"conditions":[157],"during":[158],"both":[159],"day":[160],"night.":[162],"There":[163],"5":[165],"770":[166],"frames,":[168],"totalling":[169],"22":[171],"764":[172],"throughout":[175],"11":[176],"categories.":[177],"UrTra2D":[179],"freely":[182],"available":[183],"community":[187],"upon":[188],"request.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
