{"id":"https://openalex.org/W7204247403","doi":"https://doi.org/10.37943/bzif1573","title":"COMPARISON OF DIFFERENT OBJECT DETECTION TECHNIQUES FOR CENTRAL ASIAN FOOD RECOGNITION","display_name":"COMPARISON OF DIFFERENT OBJECT DETECTION TECHNIQUES FOR CENTRAL ASIAN FOOD RECOGNITION","publication_year":2026,"publication_date":"2026-06-30","ids":{"openalex":"https://openalex.org/W7204247403","doi":"https://doi.org/10.37943/bzif1573"},"language":"en","primary_location":{"id":"doi:10.37943/bzif1573","doi":"https://doi.org/10.37943/bzif1573","is_oa":true,"landing_page_url":"https://doi.org/10.37943/bzif1573","pdf_url":"https://journal.astanait.edu.kz/index.php/ojs/article/download/1011/340","source":{"id":"https://openalex.org/S4210225114","display_name":"Scientific Journal of Astana IT University","issn_l":"2707-9031","issn":["2707-9031","2707-904X"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","erih-plus"],"host_organization":"https://openalex.org/I4405257690","host_organization_name":"Astana IT University","host_organization_lineage":["https://openalex.org/I4405257690"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Journal of Astana IT University","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal.astanait.edu.kz/index.php/ojs/article/download/1011/340","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135120778","display_name":"Ademi Sharipova","orcid":"https://orcid.org/0009-0000-7173-7518","observed_orcids":["https://orcid.org/0009-0000-7173-7518"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ademi Sharipova","raw_affiliation_strings":["Private Institution \u201cInstitute of Smart Systems and Artificial Intelligence\u201d (ISSAI)"],"raw_orcid":"https://orcid.org/0009-0000-7173-7518","affiliations":[{"raw_affiliation_string":"Private Institution \u201cInstitute of Smart Systems and Artificial Intelligence\u201d (ISSAI)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123534502","display_name":"Baimyrza Kalmyrzayev","orcid":"https://orcid.org/0009-0000-7236-7213","observed_orcids":["https://orcid.org/0009-0000-7236-7213"]},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Baimyrza Kalmyrzayev","raw_affiliation_strings":["Nazarbayev University, Kazakhstan"],"raw_orcid":"https://orcid.org/0009-0000-7236-7213","affiliations":[{"raw_affiliation_string":"Nazarbayev University, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137839060","display_name":"Aidana Mashrapova","orcid":"https://orcid.org/0009-0004-2358-0244","observed_orcids":["https://orcid.org/0009-0004-2358-0244"]},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Aidana Mashrapova","raw_affiliation_strings":["Nazarbayev University, Kazakhstan"],"raw_orcid":"https://orcid.org/0009-0004-2358-0244","affiliations":[{"raw_affiliation_string":"Nazarbayev University, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5144611267","display_name":"Aigerim Yeleussizova","orcid":"https://orcid.org/0009-0000-9969-6228","observed_orcids":["https://orcid.org/0009-0000-9969-6228"]},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Aigerim Yeleussizova","raw_affiliation_strings":["Nazarbayev University, Kazakhstan"],"raw_orcid":"https://orcid.org/0009-0000-9969-6228","affiliations":[{"raw_affiliation_string":"Nazarbayev University, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044782949","display_name":"H\u00fcseyin Atakan Varol","orcid":"https://orcid.org/0000-0002-4042-425X","observed_orcids":["https://orcid.org/0000-0002-4042-425X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huseyin Atakan Varol","raw_affiliation_strings":["Private Institution \u201cInstitute of Smart Systems and Artificial Intelligence\u201d (ISSAI), Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0002-4042-425X","affiliations":[{"raw_affiliation_string":"Private Institution \u201cInstitute of Smart Systems and Artificial Intelligence\u201d (ISSAI), Kazakhstan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079327691","display_name":"Mei\u2010Yen Chan","orcid":"https://orcid.org/0000-0003-2324-9338","observed_orcids":["https://orcid.org/0000-0003-2324-9338"]},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Mei Yen Chan","raw_affiliation_strings":["Nazarbayev University, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0003-2324-9338","affiliations":[{"raw_affiliation_string":"Nazarbayev University, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61155957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":"2","first_page":"137","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T10616","display_name":"Smart Agriculture and AI","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/dietary-monitoring","display_name":"dietary monitoring","score":0.8989999890327454},{"id":"https://openalex.org/keywords/yolov12","display_name":"YOLOv12","score":0.8109999895095825},{"id":"https://openalex.org/keywords/yolo26","display_name":"YOLO26","score":0.9340000152587891},{"id":"https://openalex.org/keywords/rt-detr","display_name":"RT-DETR","score":0.8619999885559082},{"id":"https://openalex.org/keywords/faster-r-cnn","display_name":"Faster R-CNN","score":0.9929999709129333},{"id":"https://openalex.org/keywords/retinanet","display_name":"RetinaNet","score":0.9990000128746033},{"id":"https://openalex.org/keywords/inference-speed","display_name":"inference speed","score":0.4189999997615814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797999739646912},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6739000082015991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6668999791145325},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6444000005722046},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5746999979019165},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5673999786376953},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5562999844551086},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47110000252723694},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3573000133037567},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3522000014781952},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.34459999203681946},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3125999867916107},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.3125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3075999915599823},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.290800005197525},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2524000108242035},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.37943/bzif1573","doi":"https://doi.org/10.37943/bzif1573","is_oa":true,"landing_page_url":"https://doi.org/10.37943/bzif1573","pdf_url":"https://journal.astanait.edu.kz/index.php/ojs/article/download/1011/340","source":{"id":"https://openalex.org/S4210225114","display_name":"Scientific Journal of Astana IT University","issn_l":"2707-9031","issn":["2707-9031","2707-904X"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","erih-plus"],"host_organization":"https://openalex.org/I4405257690","host_organization_name":"Astana IT University","host_organization_lineage":["https://openalex.org/I4405257690"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Journal of Astana IT University","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b4668afd41c34e0da0d92c7293182fa2","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/b4668afd41c34e0da0d92c7293182fa2","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,"listed_in":[],"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":"Scientific Journal of Astana IT University, Vol 26, Iss 2 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.37943/bzif1573","doi":"https://doi.org/10.37943/bzif1573","is_oa":true,"landing_page_url":"https://doi.org/10.37943/bzif1573","pdf_url":"https://journal.astanait.edu.kz/index.php/ojs/article/download/1011/340","source":{"id":"https://openalex.org/S4210225114","display_name":"Scientific Journal of Astana IT University","issn_l":"2707-9031","issn":["2707-9031","2707-904X"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","erih-plus"],"host_organization":"https://openalex.org/I4405257690","host_organization_name":"Astana IT University","host_organization_lineage":["https://openalex.org/I4405257690"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Journal of Astana IT University","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6735000014305115,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G7525399659","display_name":null,"funder_award_id":"201223FD2603","funder_id":"https://openalex.org/F4320327695","funder_display_name":"Nazarbayev University"}],"funders":[{"id":"https://openalex.org/F4320327695","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204247403.pdf","grobid_xml":"https://content.openalex.org/works/W7204247403.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2409991892","https://openalex.org/W2565639579","https://openalex.org/W2737041163","https://openalex.org/W2794003850","https://openalex.org/W2884561390","https://openalex.org/W2888676701","https://openalex.org/W3030520226","https://openalex.org/W3170706004","https://openalex.org/W4319996536","https://openalex.org/W4362469379","https://openalex.org/W4378619666","https://openalex.org/W4387163680","https://openalex.org/W4392245375","https://openalex.org/W4402754006","https://openalex.org/W4407759488","https://openalex.org/W4409709760","https://openalex.org/W4413278107","https://openalex.org/W4413754639","https://openalex.org/W4415451923","https://openalex.org/W6946538761"],"related_works":["https://openalex.org/W7134913765","https://openalex.org/W4409709760","https://openalex.org/W4384699148","https://openalex.org/W4376632510","https://openalex.org/W4411110643","https://openalex.org/W4362469379","https://openalex.org/W4387163680","https://openalex.org/W4413754639","https://openalex.org/W7163395720","https://openalex.org/W7157850746"],"abstract_inverted_index":{"Automated":[0],"food":[1,23,103,130,157,238],"detection":[2,57,146,239],"is":[3],"a":[4,49,79,232],"major":[5],"component":[6],"in":[7,14,98,143],"building":[8],"reliable":[9],"dietary":[10],"monitoring":[11],"systems,":[12],"particularly":[13],"regions":[15],"where":[16],"cuisine-specific":[17],"datasets":[18],"are":[19,76],"limited.":[20],"Central":[21,236],"Asian":[22,237],"recognition":[24],"presents":[25],"unique":[26],"challenges":[27],"due":[28],"to":[29],"strong":[30],"intra-class":[31],"variation,":[32],"visually":[33,219,252],"similar":[34],"dishes,":[35],"multi-item":[36,112],"meal":[37],"compositions,":[38],"and":[39,72,91,111,118,132,150,153,173,182,210,240,251],"long-tailed":[40],"class":[41,158],"distributions.":[42],"To":[43],"address":[44],"this":[45],"problem,":[46],"we":[47],"present":[48],"comprehensive":[50],"benchmarking":[51],"analysis":[52,213],"of":[53,145,171,176,193],"five":[54],"modern":[55],"object":[56],"models":[58,142],"across":[59,101,115,159],"three":[60],"groups:":[61],"two-stage":[62],"(Faster":[63],"R-CNN),":[64],"one-stage":[65,68],"anchor-based":[66],"(RetinaNet),":[67],"anchor-free":[69],"(YOLOv12,":[70],"YOLO26),":[71],"transformer-based":[73],"(RT-DETR).":[74],"Experiments":[75],"conducted":[77],"on":[78,207,218,246],"unified":[80],"dataset":[81,106,125],"constructed":[82],"by":[83,156],"merging":[84],"the":[85,92,141,165,186,202],"Global":[86],"Gastronomic":[87],"Culinary":[88],"Dataset":[89],"(GGCD)":[90],"Food":[93],"Portion":[94],"Benchmark":[95],"(FPB),":[96],"resulting":[97],"48,228":[99],"images":[100],"258":[102],"classes.":[104,228,254],"The":[105,123],"includes":[107],"controlled":[108],"single-portion":[109],"photographs":[110],"meals":[113],"captured":[114],"various":[116],"backgrounds":[117],"from":[119],"different":[120],"viewing":[121],"angles.":[122],"merged":[124],"therefore":[126],"covers":[127],"both":[128,208],"isolated":[129],"portions":[131],"more":[133,197],"complex":[134],"scenes":[135],"containing":[136],"several":[137],"dishes.":[138],"We":[139],"compare":[140],"terms":[144],"accuracy,":[147,167],"computational":[148],"requirements,":[149],"inference":[151,205],"speed,":[152],"examine":[154],"AP":[155,224],"all":[160],"models.":[161],"Overall,":[162],"YOLOv12":[163],"achieves":[164],"highest":[166],"with":[168,222],"an":[169,174,191],"mAP50":[170,192],"75.80":[172],"mAP50-95":[175],"67.90,":[177],"while":[178],"using":[179],"fewer":[180],"parameters":[181],"less":[183],"computation":[184],"than":[185],"heavier":[187],"baselines.":[188],"RT-DETR":[189],"reaches":[190],"72.90":[194],"but":[195],"requires":[196],"computation,":[198],"whereas":[199],"YOLO26":[200],"records":[201],"shortest":[203],"single-image":[204],"time":[206],"GPU":[209],"CPU.":[211],"Class-wise":[212],"further":[214],"shows":[215],"high":[216],"performance":[217],"distinctive":[220],"categories,":[221],"near-perfect":[223],"for":[225,235,249],"ten":[226],"top-detected":[227],"These":[229],"findings":[230],"provide":[231],"practical":[233],"baseline":[234],"show":[241],"that":[242],"future":[243],"progress":[244],"depends":[245],"improving":[247],"robustness":[248],"long-tail":[250],"ambiguous":[253]},"counts_by_year":[],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2026-08-27T00:00:00"}
