{"id":"https://openalex.org/W2892284455","doi":"https://doi.org/10.1109/icip.2018.8451704","title":"Celeb-500K: A Large Training Dataset for Face Recognition","display_name":"Celeb-500K: A Large Training Dataset for Face Recognition","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2892284455","doi":"https://doi.org/10.1109/icip.2018.8451704","mag":"2892284455"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5047838263","display_name":"Jiajiong Cao","orcid":"https://orcid.org/0000-0001-8311-5820"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajiong Cao","raw_affiliation_strings":["College of Information Science & Electronic Engineering, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science & Electronic Engineering, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101465136","display_name":"Yingming Li","orcid":"https://orcid.org/0000-0001-6859-9038"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingming Li","raw_affiliation_strings":["College of Information Science & Electronic Engineering, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science & Electronic Engineering, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036747535","display_name":"Zhongfei Zhang","orcid":"https://orcid.org/0000-0001-5098-2506"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongfei Zhang","raw_affiliation_strings":["College of Information Science & Electronic Engineering, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science & Electronic Engineering, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2406","last_page":"2410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":1.0,"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/T11448","display_name":"Face recognition and analysis","score":1.0,"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/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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/T10828","display_name":"Biometric Identification and Security","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/facial-recognition-system","display_name":"Facial recognition system","score":0.7801751494407654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7616020441055298},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6863532066345215},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6232163310050964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6151304841041565},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5590164065361023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5142269134521484},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4432424306869507},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.42329829931259155},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.41097351908683777},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39741143584251404},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.37180107831954956},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05103272199630737}],"concepts":[{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7801751494407654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7616020441055298},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6863532066345215},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6232163310050964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6151304841041565},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5590164065361023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5142269134521484},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4432424306869507},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.42329829931259155},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.41097351908683777},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39741143584251404},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.37180107831954956},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05103272199630737},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1509966554","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1782590233","https://openalex.org/W1998808035","https://openalex.org/W2019464758","https://openalex.org/W2097117768","https://openalex.org/W2140609507","https://openalex.org/W2144172034","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2325939864","https://openalex.org/W2341528187","https://openalex.org/W2343924602","https://openalex.org/W2515770085","https://openalex.org/W2520774990","https://openalex.org/W2562863628","https://openalex.org/W2606377603","https://openalex.org/W2613718673","https://openalex.org/W2963460857","https://openalex.org/W2963839617","https://openalex.org/W3099206234","https://openalex.org/W3101998545","https://openalex.org/W4299802279","https://openalex.org/W6620707391","https://openalex.org/W6681239517","https://openalex.org/W6684191040","https://openalex.org/W6726946684"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W4387163326","https://openalex.org/W2040482211","https://openalex.org/W2185537520","https://openalex.org/W3108145925","https://openalex.org/W325114128","https://openalex.org/W2336272890","https://openalex.org/W4312238398","https://openalex.org/W4308999963"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,26,46],"propose":[4],"a":[5,74,120],"large":[6,75],"training":[7,71,86],"dataset":[8,72],"named":[9],"Celeb-500K":[10,28,117],"for":[11],"face":[12,36,49,58,107],"recognition,":[13],"which":[14,32],"contains":[15,33,73],"50M":[16],"images":[17,37],"from":[18,38,103],"500K":[19],"persons.":[20,40],"To":[21],"better":[22],"facilitate":[23],"academic":[24],"research,":[25],"clean":[27],"to":[29,82,123],"obtain":[30],"Celeb-500K-2R,":[31],"25M":[34],"aligned":[35],"365K":[39],"Based":[41],"on":[42,57],"the":[43,70,88,96,104,114,124],"developed":[44],"dataset,":[45,87],"achieve":[47],"state-of-the-art":[48],"recognition":[50,59,108],"performance":[51,67],"and":[52,118],"reveal":[53],"two":[54,125],"important":[55,94],"observations":[56],"study.":[60],"First,":[61],"metric":[62],"learning":[63],"methods":[64],"have":[65],"limited":[66],"gain":[68],"when":[69],"number":[76,89,99],"of":[77,90,100,106,116],"identities.":[78],"Second,":[79],"in":[80],"order":[81],"develop":[83],"an":[84],"efficient":[85],"identities":[91],"is":[92],"more":[93],"than":[95],"average":[97],"image":[98],"each":[101],"identity":[102],"perspective":[105],"performance.":[109],"Extensive":[110],"experimental":[111],"results":[112],"show":[113],"superiority":[115],"provide":[119],"strong":[121],"support":[122],"observations.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}