{"id":"https://openalex.org/W2921388760","doi":"https://doi.org/10.5220/0007688709000907","title":"Data for Image Recognition Tasks: An Efficient Tool for Fine-Grained Annotations","display_name":"Data for Image Recognition Tasks: An Efficient Tool for Fine-Grained Annotations","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2921388760","doi":"https://doi.org/10.5220/0007688709000907","mag":"2921388760"},"language":"en","primary_location":{"id":"doi:10.5220/0007688709000907","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007688709000907","pdf_url":null,"source":null,"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":"Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0007688709000907","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017900383","display_name":"Marco Filax","orcid":"https://orcid.org/0000-0001-7436-1501"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marco Filax","raw_affiliation_strings":["Chair of Software Engineering, Otto von Guericke University, Magdeburg and Germany, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Software Engineering, Otto von Guericke University, Magdeburg and Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005101332","display_name":"Tim Gonschorek","orcid":"https://orcid.org/0000-0002-3386-680X"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tim Gonschorek","raw_affiliation_strings":["Chair of Software Engineering, Otto von Guericke University, Magdeburg and Germany, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Software Engineering, Otto von Guericke University, Magdeburg and Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022743752","display_name":"Frank Ortmeier","orcid":"https://orcid.org/0000-0001-6186-4142"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Ortmeier","raw_affiliation_strings":["Chair of Software Engineering, Otto von Guericke University, Magdeburg and Germany, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Software Engineering, Otto von Guericke University, Magdeburg and Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I95793202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8841,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79277992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"900","last_page":"907"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9897000193595886,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9897000193595886,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9850000143051147,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9710000157356262,"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/computer-science","display_name":"Computer science","score":0.8623224496841431},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7009721994400024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6439266800880432},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6254664659500122},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5594860911369324},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5346735119819641},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5321027040481567},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5115726590156555},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4543861150741577},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.42712974548339844},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3690165877342224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8623224496841431},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7009721994400024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6439266800880432},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6254664659500122},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5594860911369324},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5346735119819641},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5321027040481567},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5115726590156555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4543861150741577},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42712974548339844},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3690165877342224},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0007688709000907","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007688709000907","pdf_url":null,"source":null,"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":"Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0007688709000907","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007688709000907","pdf_url":null,"source":null,"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":"Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Using":[0],"large":[1,74],"datasets":[2,21],"is":[3,121],"essential":[4],"for":[5,40,150,186],"machine":[6,12,33],"learning.":[7],"In":[8,59],"practice,":[9],"training":[10,187],"a":[11,41,64,98,115,141,151],"learning":[13,34],"algorithm":[14],"requires":[15],"hundreds":[16,46],"of":[17,47,71,93,101,114,158,175],"samples.":[18],"Multiple":[19],"off-the-shelf":[20,126],"from":[22,83,135],"the":[23,69,88,94,136,170,193,197],"scientific":[24],"domain":[25],"exist":[26],"to":[27,37,67,111,123,169],"benchmark":[28],"new":[29],"approaches.":[30],"However,":[31],"when":[32],"algorithms":[35],"transit":[36],"industry,":[38],"e.g.,":[39],"particular":[42,99,152],"image":[43,75],"classification":[44],"problem,":[45],"specific":[48],"purpose":[49],"images":[50,180],"are":[51],"collected":[52],"and":[53,91,106],"annotated":[54],"in":[55,103,147,196],"laborious":[56],"manual":[57],"work.":[58],"this":[60],"paper,":[61],"we":[62,78,164],"present":[63],"novel":[65],"system":[66],"decrease":[68],"effort":[70],"annotating":[72],"those":[73],"sets.":[76],"Therefore,":[77],"generate":[79],"2D":[80],"bounding":[81],"boxes":[82],"minimal":[84],"3D":[85,104],"annotations":[86,109],"using":[87],"known":[89],"location":[90],"orientation":[92],"camera.":[95],"We":[96,128,139],"annotate":[97],"object":[100],"interest":[102],"once":[105],"project":[107],"these":[108],"on":[110],"every":[112],"frame":[113],"video":[116],"stream.":[117],"The":[118],"proposed":[119,194],"approach":[120,195],"designed":[122],"work":[124],"with":[125,132,192],"hardware.":[127],"demonstrate":[129],"its":[130],"applicability":[131],"an":[133],"example":[134],"real":[137],"world.":[138],"generated":[140],"more":[142],"extensive":[143],"dataset":[144,167],"than":[145],"available":[146,168],"other":[148],"works":[149],"industrial":[153],"use":[154],"case:":[155],"fine-grained":[156],"recognition":[157],"items":[159],"within":[160],"grocery":[161],"stores.":[162],"Further,":[163],"make":[165],"our":[166],"interested":[171],"vision":[172],"community":[173],"consisting":[174],"over":[176],"60,000":[177],"images.":[178],"Some":[179],"were":[181,190],"taken":[182,191],"under":[183],"ideal":[184],"conditions":[185],"while":[188],"others":[189],"wild.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}