{"id":"https://openalex.org/W2926225070","doi":"https://doi.org/10.1109/bigcomp.2019.8678916","title":"BTBUFood-60: Dataset for Object Detection in Food Field","display_name":"BTBUFood-60: Dataset for Object Detection in Food Field","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2926225070","doi":"https://doi.org/10.1109/bigcomp.2019.8678916","mag":"2926225070"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2019.8678916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8678916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"},"type":"article","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/A5003131468","display_name":"Qiang Cai","orcid":"https://orcid.org/0000-0002-3865-9252"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Cai","raw_affiliation_strings":["School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763416","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-9043-8633"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108049287","display_name":"Haisheng Li","orcid":"https://orcid.org/0000-0003-4861-0513"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haisheng Li","raw_affiliation_strings":["School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069187587","display_name":"Yunxuan Weng","orcid":"https://orcid.org/0000-0001-8492-0338"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunxuan Weng","raw_affiliation_strings":["School of Materials Science and Mechanical Engineering, Beijing Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Materials Science and Mechanical Engineering, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003131468"],"corresponding_institution_ids":["https://openalex.org/I179026463"],"apc_list":null,"apc_paid":null,"fwci":0.6847,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.66636249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12388","display_name":"Identification and Quantification in Food","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.989300012588501,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.8513733148574829},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7789767980575562},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7402904033660889},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7089341282844543},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6465879082679749},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6270432472229004},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.621345043182373},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5505724549293518},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5158311724662781},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.493510365486145},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48371508717536926},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43253666162490845},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4244702458381653},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4237530529499054},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40511244535446167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3600672781467438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08153769373893738}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.8513733148574829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7789767980575562},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7402904033660889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7089341282844543},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6465879082679749},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6270432472229004},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.621345043182373},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5505724549293518},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5158311724662781},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.493510365486145},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48371508717536926},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43253666162490845},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4244702458381653},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4237530529499054},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40511244535446167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3600672781467438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08153769373893738},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcomp.2019.8678916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8678916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W191001584","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1979008561","https://openalex.org/W2031489346","https://openalex.org/W2038721957","https://openalex.org/W2057352599","https://openalex.org/W2074076772","https://openalex.org/W2088145686","https://openalex.org/W2096761622","https://openalex.org/W2100124084","https://openalex.org/W2102605133","https://openalex.org/W2104974755","https://openalex.org/W2108598243","https://openalex.org/W2109109597","https://openalex.org/W2111298664","https://openalex.org/W2135166986","https://openalex.org/W2147253850","https://openalex.org/W2163605009","https://openalex.org/W2185798401","https://openalex.org/W2899808457","https://openalex.org/W4235505822","https://openalex.org/W6620707391","https://openalex.org/W6672859665","https://openalex.org/W6674875818","https://openalex.org/W6676422990","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4311223090","https://openalex.org/W2095705906","https://openalex.org/W2625952574","https://openalex.org/W2965994363","https://openalex.org/W3130645678","https://openalex.org/W2975200075","https://openalex.org/W4385062912","https://openalex.org/W4298525700","https://openalex.org/W2953362004","https://openalex.org/W2801801420"],"abstract_inverted_index":{"With":[0,52],"the":[1,62],"development":[2],"of":[3,42,55,64,94],"computer":[4],"vision":[5],"and":[6,85,101],"image":[7,13,83],"processing,":[8],"researchers":[9],"have":[10],"published":[11],"abundant":[12],"datasets":[14],"for":[15,26,82,109],"object":[16,28,86],"detection.":[17,29,87],"Whereas,":[18],"we":[19,34],"can":[20],"hardly":[21],"acquire":[22],"food":[23,27,50],"dataset":[24,38,66,96],"dedicated":[25],"To":[30],"address":[31],"this":[32],"problem,":[33],"introduce":[35],"a":[36,53,90,114],"novel":[37],"that":[39],"includes":[40],"images":[41],"60":[43],"objects":[44],"categories":[45],"which":[46],"are":[47],"common":[48],"in":[49,59,72],"domain.":[51],"total":[54],"78k":[56],"labeled":[57],"instances":[58],"60k":[60],"images,":[61],"creation":[63],"our":[65,73,77,95],"drew":[67],"upon":[68],"30":[69],"graduate":[70],"students":[71],"lab":[74],"involvement":[75],"via":[76],"multi-label":[78],"automatic":[79],"labeling":[80],"system":[81],"classification":[84],"We":[88,103],"present":[89],"detailed":[91],"statistical":[92],"analysis":[93,108],"compared":[97],"to":[98],"PASCAL,":[99],"Food-101,":[100],"ImageNet.":[102],"lastly":[104],"provide":[105],"baseline":[106],"performance":[107],"bounding-box":[110],"detection":[111],"results":[112],"using":[113],"Faster":[115],"Region":[116],"based":[117],"Convolutional":[118],"Neural":[119],"Networks.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
