{"id":"https://openalex.org/W4400198517","doi":"https://doi.org/10.3390/s24134219","title":"Performance Assessment of Object Detection Models Trained with Synthetic Data: A Case Study on Electrical Equipment Detection","display_name":"Performance Assessment of Object Detection Models Trained with Synthetic Data: A Case Study on Electrical Equipment Detection","publication_year":2024,"publication_date":"2024-06-28","ids":{"openalex":"https://openalex.org/W4400198517","doi":"https://doi.org/10.3390/s24134219","pmid":"https://pubmed.ncbi.nlm.nih.gov/39000997"},"language":"en","primary_location":{"id":"doi:10.3390/s24134219","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24134219","pdf_url":"https://www.mdpi.com/1424-8220/24/13/4219/pdf?version=1719586023","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/13/4219/pdf?version=1719586023","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070992948","display_name":"David O. Santos","orcid":"https://orcid.org/0009-0009-3926-1148"},"institutions":[{"id":"https://openalex.org/I41455075","display_name":"Universidade Federal de Campina Grande","ror":"https://ror.org/00eftnx64","country_code":"BR","type":"education","lineage":["https://openalex.org/I41455075"]},{"id":"https://openalex.org/I4210163266","display_name":"Inesc P&D Brasil","ror":"https://ror.org/05yps4z32","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I4210163266"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"David Santos","raw_affiliation_strings":["Department of Electrical Engineering, Federal University of Campina Grande, Campina Grande 58401-490, Brazil","INESC P&D Brasil, Santos 11055-300, Brazil"],"raw_orcid":"https://orcid.org/0009-0009-3926-1148","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Federal University of Campina Grande, Campina Grande 58401-490, Brazil","institution_ids":["https://openalex.org/I41455075"]},{"raw_affiliation_string":"INESC P&D Brasil, Santos 11055-300, Brazil","institution_ids":["https://openalex.org/I4210163266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032131300","display_name":"Jugurta Montalv\u00e3o","orcid":"https://orcid.org/0000-0002-6659-6439"},"institutions":[{"id":"https://openalex.org/I190085865","display_name":"Universidade Federal de Sergipe","ror":"https://ror.org/028ka0n85","country_code":"BR","type":"education","lineage":["https://openalex.org/I190085865"]},{"id":"https://openalex.org/I4210163266","display_name":"Inesc P&D Brasil","ror":"https://ror.org/05yps4z32","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I4210163266"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jugurta Montalv\u00e3o","raw_affiliation_strings":["Department of Electrical Engineering, Federal University of Sergipe, S\u00e3o Crist\u00f3v\u00e3o 49100-000, Brazil","INESC P&D Brasil, Santos 11055-300, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-6659-6439","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Federal University of Sergipe, S\u00e3o Crist\u00f3v\u00e3o 49100-000, Brazil","institution_ids":["https://openalex.org/I190085865"]},{"raw_affiliation_string":"INESC P&D Brasil, Santos 11055-300, Brazil","institution_ids":["https://openalex.org/I4210163266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114210166","display_name":"Charles A. C. Araujo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Charles Araujo","raw_affiliation_strings":["Electrical Operation, Eneva S.A., Barra dos Coqueiros 49140-000, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Operation, Eneva S.A., Barra dos Coqueiros 49140-000, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109765558","display_name":"Ulisses D. E. S. Lebre","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ulisses Lebre","raw_affiliation_strings":["Electrical Operation, Eneva S.A., Barra dos Coqueiros 49140-000, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Operation, Eneva S.A., Barra dos Coqueiros 49140-000, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071650119","display_name":"Tarso Vilela Ferreira","orcid":"https://orcid.org/0000-0002-3852-8586"},"institutions":[{"id":"https://openalex.org/I190085865","display_name":"Universidade Federal de Sergipe","ror":"https://ror.org/028ka0n85","country_code":"BR","type":"education","lineage":["https://openalex.org/I190085865"]},{"id":"https://openalex.org/I4210163266","display_name":"Inesc P&D Brasil","ror":"https://ror.org/05yps4z32","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I4210163266"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Tarso Ferreira","raw_affiliation_strings":["Department of Electrical Engineering, Federal University of Sergipe, S\u00e3o Crist\u00f3v\u00e3o 49100-000, Brazil","INESC P&D Brasil, Santos 11055-300, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-3852-8586","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Federal University of Sergipe, S\u00e3o Crist\u00f3v\u00e3o 49100-000, Brazil","institution_ids":["https://openalex.org/I190085865"]},{"raw_affiliation_string":"INESC P&D Brasil, Santos 11055-300, Brazil","institution_ids":["https://openalex.org/I4210163266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085055895","display_name":"Eduardo Oliveira Freire","orcid":"https://orcid.org/0000-0002-0357-8655"},"institutions":[{"id":"https://openalex.org/I151201029","display_name":"Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas","ror":"https://ror.org/03cqe8w59","country_code":"AR","type":"government","lineage":["https://openalex.org/I151201029","https://openalex.org/I4210123736","https://openalex.org/I4387155568"]},{"id":"https://openalex.org/I190085865","display_name":"Universidade Federal de Sergipe","ror":"https://ror.org/028ka0n85","country_code":"BR","type":"education","lineage":["https://openalex.org/I190085865"]},{"id":"https://openalex.org/I4210163266","display_name":"Inesc P&D Brasil","ror":"https://ror.org/05yps4z32","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I4210163266"]}],"countries":["AR","BR"],"is_corresponding":false,"raw_author_name":"Eduardo Freire","raw_affiliation_strings":["Department of Electrical Engineering, Federal University of Sergipe, S\u00e3o Crist\u00f3v\u00e3o 49100-000, Brazil","INESC P&D Brasil, Santos 11055-300, Brazil","National Council of Scientific and Technical Research\u2014CONICET, Godoy Cruz, Buenos Aires 2290, Argentina"],"raw_orcid":"https://orcid.org/0000-0002-0357-8655","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Federal University of Sergipe, S\u00e3o Crist\u00f3v\u00e3o 49100-000, Brazil","institution_ids":["https://openalex.org/I190085865"]},{"raw_affiliation_string":"INESC P&D Brasil, Santos 11055-300, Brazil","institution_ids":["https://openalex.org/I4210163266"]},{"raw_affiliation_string":"National Council of Scientific and Technical Research\u2014CONICET, Godoy Cruz, Buenos Aires 2290, Argentina","institution_ids":["https://openalex.org/I151201029"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070992948"],"corresponding_institution_ids":["https://openalex.org/I41455075","https://openalex.org/I4210163266"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.8604,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73613664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"24","issue":"13","first_page":"4219","last_page":"4219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9965999722480774,"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/detector","display_name":"Detector","score":0.7401549220085144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6605654954910278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6241210103034973},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4996047019958496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4517036974430084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4510202407836914},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.44048431515693665},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4310910701751709},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38715529441833496},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20943212509155273},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.15757966041564941},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11630383133888245},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0734437108039856}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7401549220085144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6605654954910278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6241210103034973},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4996047019958496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4517036974430084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4510202407836914},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.44048431515693665},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4310910701751709},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38715529441833496},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20943212509155273},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.15757966041564941},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11630383133888245},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0734437108039856}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s24134219","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24134219","pdf_url":"https://www.mdpi.com/1424-8220/24/13/4219/pdf?version=1719586023","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39000997","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39000997","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:ri.conicet.gov.ar:11336/260572","is_oa":true,"landing_page_url":"http://hdl.handle.net/11336/260572","pdf_url":null,"source":{"id":"https://openalex.org/S4306401400","display_name":"Conicet","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210104196","host_organization_name":"Centro Cient\u00edfico Tecnol\u00f3gico - Nordeste","host_organization_lineage":["https://openalex.org/I4210104196"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pubmedcentral.nih.gov:11244142","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11244142","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:a9cf1abcd48d459eb9bea9e41ad6634e","is_oa":false,"landing_page_url":"https://doaj.org/article/a9cf1abcd48d459eb9bea9e41ad6634e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 13, p 4219 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24134219","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24134219","pdf_url":"https://www.mdpi.com/1424-8220/24/13/4219/pdf?version=1719586023","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G5918496715","display_name":null,"funder_award_id":"PD-11278-0001-202","funder_id":"https://openalex.org/F2627794787","funder_display_name":"Eneva"}],"funders":[{"id":"https://openalex.org/F2627794787","display_name":"Eneva","ror":null},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400198517.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W195614647","https://openalex.org/W1992825118","https://openalex.org/W2003099669","https://openalex.org/W2138857742","https://openalex.org/W2164598857","https://openalex.org/W2395579298","https://openalex.org/W2533863441","https://openalex.org/W2545630289","https://openalex.org/W2553497478","https://openalex.org/W2570343428","https://openalex.org/W2767011576","https://openalex.org/W2883554987","https://openalex.org/W2884367402","https://openalex.org/W2952999519","https://openalex.org/W2954996726","https://openalex.org/W2963037989","https://openalex.org/W2966885779","https://openalex.org/W2975317124","https://openalex.org/W3044509263","https://openalex.org/W3091070512","https://openalex.org/W3096831136","https://openalex.org/W3097096317","https://openalex.org/W3111600423","https://openalex.org/W3159196909","https://openalex.org/W3159743943","https://openalex.org/W3171873561","https://openalex.org/W3176923149","https://openalex.org/W3189911664","https://openalex.org/W4205587150","https://openalex.org/W4285126451","https://openalex.org/W4285249424","https://openalex.org/W4287889566","https://openalex.org/W4292369030","https://openalex.org/W4293790428","https://openalex.org/W4295934627","https://openalex.org/W4309709748","https://openalex.org/W4313389069","https://openalex.org/W4322102006","https://openalex.org/W4391129680","https://openalex.org/W4396697397","https://openalex.org/W6684392942","https://openalex.org/W6728312033","https://openalex.org/W6795111151","https://openalex.org/W6805598870"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2074467390","https://openalex.org/W2795393339","https://openalex.org/W2626393719","https://openalex.org/W4390618967","https://openalex.org/W2174745845","https://openalex.org/W2063058012"],"abstract_inverted_index":{"This":[0,135],"paper":[1],"explores":[2],"a":[3,45,57],"data":[4,167],"augmentation":[5,168],"approach":[6],"for":[7],"images":[8,84,107],"of":[9,40,89,100,142,152,164],"rigid":[10],"bodies,":[11],"particularly":[12],"focusing":[13],"on":[14,80],"electrical":[15],"equipment":[16,27],"and":[17,71,96,111,145],"analogous":[18],"industrial":[19],"objects.":[20],"By":[21],"leveraging":[22],"manufacturer-provided":[23],"datasheets":[24],"containing":[25],"precise":[26],"dimensions,":[28],"we":[29,55],"employed":[30],"straightforward":[31],"algorithms":[32],"to":[33,133],"generate":[34],"synthetic":[35,83],"images,":[36,54],"permitting":[37],"the":[38,41,68,86,90,129,148,165],"expansion":[39],"training":[42],"dataset":[43],"from":[44,131],"potentially":[46],"unlimited":[47],"viewpoint.":[48],"In":[49],"scenarios":[50],"lacking":[51],"genuine":[52],"target":[53,91],"conducted":[56],"case":[58],"study":[59],"using":[60,105],"two":[61,65],"well-known":[62],"detectors,":[63,77],"representing":[64],"machine-learning":[66],"paradigms:":[67],"Viola-Jones":[69],"(VJ)":[70],"You":[72],"Only":[73],"Look":[74],"Once":[75],"(YOLO)":[76],"trained":[78],"exclusively":[79],"datasets":[81],"featuring":[82],"as":[85,159],"positive":[87],"examples":[88],"equipment,":[92],"namely":[93],"lightning":[94],"rods":[95],"potential":[97],"transformers.":[98],"Performances":[99],"both":[101,109,122],"detectors":[102],"were":[103],"assessed":[104],"real":[106],"in":[108,121,128,140,162],"visible":[110],"infrared":[112],"spectra.":[113],"YOLO":[114],"consistently":[115],"demonstrates":[116],"F1":[117],"scores":[118,126,151],"below":[119],"26%":[120],"spectra,":[123],"while":[124],"VJ's":[125],"lie":[127],"interval":[130],"38%":[132],"61%.":[134],"performance":[136],"discrepancy":[137],"is":[138],"discussed":[139],"view":[141],"paradigms'":[143],"strengths":[144],"weaknesses,":[146],"whereas":[147],"relatively":[149],"high":[150],"at":[153],"least":[154],"one":[155],"detector":[156],"are":[157],"taken":[158],"empirical":[160],"evidence":[161],"favor":[163],"proposed":[166],"approach.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-23T13:55:30.953635","created_date":"2025-10-10T00:00:00"}