{"id":"https://openalex.org/W7128950765","doi":"https://doi.org/10.17632/cy3ccgkx3n","title":"Mango classification and segmentation dataset in Uganda","display_name":"Mango classification and segmentation dataset in Uganda","publication_year":2026,"publication_date":"2026-02-15","ids":{"openalex":"https://openalex.org/W7128950765","doi":"https://doi.org/10.17632/cy3ccgkx3n"},"language":"en","primary_location":{"id":"doi:10.17632/cy3ccgkx3n","doi":"https://doi.org/10.17632/cy3ccgkx3n","is_oa":true,"landing_page_url":"https://doi.org/10.17632/cy3ccgkx3n","pdf_url":null,"source":{"id":"https://openalex.org/S7407050775","display_name":"Mendeley Data","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"volume":null,"type":"dataset","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.17632/cy3ccgkx3n","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5098957504","display_name":"Patricia V. Ankunda","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210161311","display_name":"Soroti University","ror":"https://ror.org/05xkxz718","country_code":"UG","type":"education","lineage":["https://openalex.org/I4210161311"]}],"countries":["UG"],"is_corresponding":false,"raw_author_name":"Ankunda, Patricia","raw_affiliation_strings":["Soroti University"],"raw_orcid":"https://orcid.org/0009-0001-4181-4380","affiliations":[{"raw_affiliation_string":"Soroti University","institution_ids":["https://openalex.org/I4210161311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126058881","display_name":"Desire Kawala","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210161311","display_name":"Soroti University","ror":"https://ror.org/05xkxz718","country_code":"UG","type":"education","lineage":["https://openalex.org/I4210161311"]}],"countries":["UG"],"is_corresponding":false,"raw_author_name":"Kawala, Desire","raw_affiliation_strings":["Soroti University"],"raw_orcid":"https://orcid.org/0009-0000-8728-1826","affiliations":[{"raw_affiliation_string":"Soroti University","institution_ids":["https://openalex.org/I4210161311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003473859","display_name":"Abubakhari Sserwadda","orcid":"https://orcid.org/0000-0001-9150-5298","observed_orcids":["https://orcid.org/0000-0001-9150-5298"]},"institutions":[{"id":"https://openalex.org/I4210161311","display_name":"Soroti University","ror":"https://ror.org/05xkxz718","country_code":"UG","type":"education","lineage":["https://openalex.org/I4210161311"]}],"countries":["UG"],"is_corresponding":false,"raw_author_name":"sserwadda, ABUBAKHARI","raw_affiliation_strings":["Soroti University"],"raw_orcid":"https://orcid.org/0000-0001-9150-5298","affiliations":[{"raw_affiliation_string":"Soroti University","institution_ids":["https://openalex.org/I4210161311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126065279","display_name":"Doreen Mukyala","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210161311","display_name":"Soroti University","ror":"https://ror.org/05xkxz718","country_code":"UG","type":"education","lineage":["https://openalex.org/I4210161311"]}],"countries":["UG"],"is_corresponding":false,"raw_author_name":"Mukyala, Doreen","raw_affiliation_strings":["Soroti University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soroti University","institution_ids":["https://openalex.org/I4210161311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126044028","display_name":"Agnes Constance Mirembe","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210161311","display_name":"Soroti University","ror":"https://ror.org/05xkxz718","country_code":"UG","type":"education","lineage":["https://openalex.org/I4210161311"]}],"countries":["UG"],"is_corresponding":false,"raw_author_name":"Mirembe, Agnes Constance","raw_affiliation_strings":["Soroti University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soroti University","institution_ids":["https://openalex.org/I4210161311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126069631","display_name":"Aisha Babirye","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210161311","display_name":"Soroti University","ror":"https://ror.org/05xkxz718","country_code":"UG","type":"education","lineage":["https://openalex.org/I4210161311"]}],"countries":["UG"],"is_corresponding":false,"raw_author_name":"Babirye, Aisha","raw_affiliation_strings":["Soroti University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soroti University","institution_ids":["https://openalex.org/I4210161311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210161311"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9574999809265137,"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"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9574999809265137,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.03220000118017197,"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":0.003700000001117587,"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/mango","display_name":"mango","score":0.8859999775886536},{"id":"https://openalex.org/keywords/fruit-damage-detection","display_name":"fruit damage detection","score":0.7839999794960022},{"id":"https://openalex.org/keywords/mango-cultivars","display_name":"mango cultivars","score":0.5580000281333923},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.5260000228881836},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.7350000143051147},{"id":"https://openalex.org/keywords/fruit-image-classification","display_name":"fruit image classification","score":0.4429999887943268}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6948999762535095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5925999879837036},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5709999799728394},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44119998812675476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43939998745918274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43290001153945923},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.3637999892234802},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3521000146865845},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.267300009727478},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25780001282691956}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.17632/cy3ccgkx3n","doi":"https://doi.org/10.17632/cy3ccgkx3n","is_oa":true,"landing_page_url":"https://doi.org/10.17632/cy3ccgkx3n","pdf_url":null,"source":{"id":"https://openalex.org/S7407050775","display_name":"Mendeley Data","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},{"id":"doi:10.17632/cy3ccgkx3n.1","doi":"https://doi.org/10.17632/cy3ccgkx3n.1","is_oa":true,"landing_page_url":"https://doi.org/10.17632/cy3ccgkx3n.1","pdf_url":null,"source":{"id":"https://openalex.org/S7407050775","display_name":"Mendeley Data","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.17632/cy3ccgkx3n","doi":"https://doi.org/10.17632/cy3ccgkx3n","is_oa":true,"landing_page_url":"https://doi.org/10.17632/cy3ccgkx3n","pdf_url":null,"source":{"id":"https://openalex.org/S7407050775","display_name":"Mendeley Data","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.6875,"id":"https://metadata.un.org/sdg/2"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7083701623","https://openalex.org/W7138423676","https://openalex.org/W6926024953","https://openalex.org/W6906479087","https://openalex.org/W7090415543","https://openalex.org/W4414047954","https://openalex.org/W6925595502","https://openalex.org/W4412529011","https://openalex.org/W4405595328","https://openalex.org/W6906539712"],"abstract_inverted_index":{"Mangoes":[0],"are":[1,222],"among":[2],"the":[3,19,22,26,45],"most":[4],"important":[5],"traditional":[6],"fruits":[7],"grown":[8],"in":[9,108,116,224,250],"Uganda,":[10],"with":[11,104],"several":[12],"species":[13,67,106,244],"cultivated":[14],"across":[15,121],"different":[16,102],"regions":[17],"of":[18,28,49,96,140,177,215],"country,":[20],"including":[21],"Eastern":[23],"region":[24],"where":[25],"majority":[27],"our":[29],"dataset":[30,79,92,129,155,165,229],"was":[31],"collected.":[32],"Despite":[33],"their":[34],"economic":[35],"and":[36,47,69,119,136,157,171,209,238,246],"nutritional":[37],"importance,":[38],"limited":[39],"work":[40],"has":[41],"been":[42],"done":[43],"on":[44],"classification":[46,68,170,245],"segmentation":[48,72,149],"local":[50,122,251],"Ugandan":[51,252],"mango":[52,66,70,123,145,189,243,253],"varieties.":[53,124,254],"This":[54,91,128,164,227],"research":[55],"aims":[56],"to":[57,153,184,205,211],"address":[58],"that":[59],"gap":[60],"by":[61],"developing":[62,235],"reliable":[63],"models":[64,241],"for":[65,132,168,234,242],"damage":[71,134,248],"using":[73,197],"a":[74,109,212,231],"locally":[75],"collected":[76],"dataset.":[77],"The":[78,112,148,200],"is":[80,130,166],"structured":[81],"into":[82,100],"three":[83],"main":[84],"components:":[85],"1.":[86],"Mango":[87],"Species":[88],"Classification":[89],"Dataset":[90,127,163],"contains":[93],"1,611":[94],"images":[95,113,139,147,150,176,182,190,201],"healthy":[97],"mangoes,":[98],"organized":[99],"nine":[101],"species,":[103],"each":[105],"stored":[107,223],"separate":[110],"folder.":[111],"capture":[114],"variations":[115],"shape,":[117],"color,":[118],"texture":[120],"2.":[125],"Segmentation":[126],"designed":[131],"pixel-level":[133],"detection":[135,249],"contains:":[137],"1,500":[138,143],"damaged":[141],"mangoes":[142,179],"corresponding":[144],"mask":[146],"were":[151,191,202],"augmented":[152,181],"increase":[154],"diversity":[156],"improve":[158],"model":[159,186],"generalization.":[160],"3.":[161],"Damaged":[162],"intended":[167],"damage/infection":[169],"consists":[172],"of:":[173],"957":[174],"raw":[175],"damaged/infected":[178],"6,419":[180],"generated":[183],"enhance":[185],"robustness":[187],"All":[188,220],"captured":[192],"under":[193],"natural":[194],"daylight":[195],"conditions":[196],"smartphone":[198],"cameras.":[199],"then":[203],"preprocessed":[204],"remove":[206],"background":[207],"elements":[208],"resized":[210],"uniform":[213],"resolution":[214],"256":[216,218],"\u00d7":[217],"pixels.":[219],"files":[221],"JPG":[225],"format.":[226],"comprehensive":[228],"provides":[230],"strong":[232],"foundation":[233],"machine":[236],"learning":[237,240],"deep":[239],"automated":[247]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-02-16T00:00:00"}