{"id":"https://openalex.org/W6907335000","doi":"https://doi.org/10.21227/jm68-7821","title":"Shopee Image Dataset(Thailand)","display_name":"Shopee Image Dataset(Thailand)","publication_year":2022,"publication_date":"2022-02-02","ids":{"openalex":"https://openalex.org/W6907335000","doi":"https://doi.org/10.21227/jm68-7821"},"language":"en","primary_location":{"id":"doi:10.21227/jm68-7821","is_oa":true,"landing_page_url":"https://doi.org/10.21227/jm68-7821","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"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"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/jm68-7821","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Thwe, Yamin","orcid":null},"institutions":[{"id":"https://openalex.org/I10245363","display_name":"Rajamangala University of Technology","ror":"https://ror.org/051qqcg15","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Thwe, Yamin","raw_affiliation_strings":["Rajamangala University of Technology Thanyaburi"],"affiliations":[{"raw_affiliation_string":"Rajamangala University of Technology Thanyaburi","institution_ids":["https://openalex.org/I10245363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I10245363"],"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":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.541700005531311},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4966999888420105},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4359000027179718},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3952000141143799},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.36230000853538513},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33799999952316284},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.3276999890804291}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7128999829292297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6951000094413757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6164000034332275},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.541700005531311},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4966999888420105},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4359000027179718},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3952000141143799},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.36230000853538513},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3276999890804291},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3269999921321869},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3109000027179718},{"id":"https://openalex.org/C2778999518","wikidata":"https://www.wikidata.org/wiki/Q8","display_name":"Happiness","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.2867000102996826},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.2547999918460846},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/jm68-7821","is_oa":true,"landing_page_url":"https://doi.org/10.21227/jm68-7821","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/jm68-7821","is_oa":true,"landing_page_url":"https://doi.org/10.21227/jm68-7821","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"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":[{"score":0.6025238037109375,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Object":[0],"detection":[1,13,25],"via":[2],"images":[3],"has":[4],"advanced":[5],"quickly":[6],"over":[7],"the":[8,30,38],"last":[9],"few":[10],"decades,":[11],"their":[12],"accuracy,":[14],"categorization,":[15],"and":[16,23,48],"localization":[17],"are":[18],"not":[19],"consistent.":[20],"Achieving":[21],"fast":[22],"accurate":[24],"of":[26],"fashion":[27],"products":[28],"in":[29],"e-commerce":[31],"environment":[32],"is":[33,42,51],"very":[34],"important":[35],"for":[36],"selecting":[37],"right":[39],"category.":[40],"This":[41],"closely":[43],"related":[44],"to":[45],"customer":[46],"satisfaction":[47],"happiness":[49],"which":[50],"a":[52],"critical":[53],"aspect.&nbsp;":[54]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
