{"id":14756,"date":"2024-07-06T01:38:15","date_gmt":"2024-07-06T01:38:15","guid":{"rendered":"https:\/\/www.lifescienceart.com\/?p=14756"},"modified":"2024-07-06T01:38:15","modified_gmt":"2024-07-06T01:38:15","slug":"google-ai-image-localization-planet","status":"publish","type":"post","link":"https:\/\/www.lifescienceart.com\/cs\/science\/artificial-intelligence\/google-ai-image-localization-planet\/","title":{"rendered":"Nov\u00e1 um\u011bl\u00e1 inteligence od Googlu p\u0159esn\u011b lokalizuje p\u016fvod fotek"},"content":{"rendered":"<h2 class=\"wp-block-heading\">Nov\u00e1 um\u011bl\u00e1 inteligence od Googlu p\u0159esn\u011b lokalizuje p\u016fvod fotek<\/h2>\n\n<h2 class=\"wp-block-heading\">P\u0159edstaven\u00ed PlaNet: Neuronov\u00e1 s\u00ed\u0165 Googlu pro lokalizaci obr\u00e1zk\u016f<\/h2>\n\n<p>Google dos\u00e1hl zna\u010dn\u00e9ho pokroku v oblasti um\u011bl\u00e9 inteligence (AI) v\u00fdvojem PlaNetu, neuronov\u00e9 s\u00edt\u011b schopn\u00e9 ur\u010dit polohu fotografie s pozoruhodnou p\u0159esnost\u00ed. Tento pr\u016flom m\u00e1 potenci\u00e1l zp\u016fsobit revoluci v aplikac\u00edch zalo\u017een\u00fdch na obr\u00e1zc\u00edch a roz\u0161\u00ed\u0159it na\u0161e ch\u00e1p\u00e1n\u00ed sv\u011bta kolem n\u00e1s.<\/p>\n\n<h2 class=\"wp-block-heading\">Jak PlaNet funguje<\/h2>\n\n<p>PlaNet analyzuje pixely v obr\u00e1zku, aby ur\u010dil jeho polohu. Pro v\u00fdcvik neuronov\u00e9 s\u00edt\u011b rozd\u011blili v\u011bdci Zemi na tis\u00edce geografick\u00fdch \u201ebun\u011bk\u201c a na\u010detli p\u0159es 100 milion\u016f geotagovan\u00fdch obr\u00e1zk\u016f. N\u011bkter\u00e9 obr\u00e1zky byly pou\u017eity k tomu, aby se PlaNet nau\u010dil rozpoznat, do kter\u00e9 bu\u0148ky obr\u00e1zek pat\u0159\u00ed, zat\u00edmco jin\u00e9 ov\u011b\u0159ovaly po\u010d\u00e1te\u010dn\u00ed v\u00fdsledky.<\/p>\n\n<h2 class=\"wp-block-heading\">P\u016fsobiv\u00e1 p\u0159esnost<\/h2>\n\n<p>P\u0159i testov\u00e1n\u00ed dos\u00e1hl PlaNet p\u016fsobiv\u00fdch v\u00fdsledk\u016f. Ur\u010dil polohu u 3,6 % obr\u00e1zk\u016f s \u201ep\u0159esnost\u00ed na \u00farovni ulice\u201c, u 10,1 % na \u00farovni m\u011bsta, 28,4 % na \u00farovni st\u00e1tu a 48 % na \u00farovni kontinentu. Tyto v\u00fdsledky p\u0159ekon\u00e1vaj\u00ed lidsk\u00fd v\u00fdkon, p\u0159i\u010dem\u017e PlaNetovy nespr\u00e1vn\u00e9 odhady byly v pr\u016fm\u011bru vzd\u00e1len\u00e9 pouh\u00fdch 702 mil od skute\u010dn\u00e9 polohy, ve srovn\u00e1n\u00ed s v\u00edce ne\u017e 1 400 mil u lidsk\u00fdch subjekt\u016f.<\/p>\n\n<h2 class=\"wp-block-heading\">Aplikace a potenci\u00e1l<\/h2>\n\n<p>Schopnosti PlaNetu maj\u00ed dalekos\u00e1hl\u00e9 d\u016fsledky. Lze jej integrovat do za\u0159\u00edzen\u00ed, jako jsou mobiln\u00ed telefony, k prov\u00e1d\u011bn\u00ed slo\u017eit\u00fdch obrazov\u00fdch anal\u00fdz, jako je identifikace orienta\u010dn\u00edch bod\u016f, poskytov\u00e1n\u00ed historick\u00e9ho kontextu nebo pomoc p\u0159i navigaci. Tato technologie tak\u00e9 slibuje v oblastech, jako je urbanismus, monitorov\u00e1n\u00ed \u017eivotn\u00edho prost\u0159ed\u00ed a p\u00e1trac\u00ed a z\u00e1chrann\u00e9 operace.<\/p>\n\n<h2 class=\"wp-block-heading\">Budoucnost lokalizace obr\u00e1zk\u016f<\/h2>\n\n<p>Neuronov\u00e9 s\u00edt\u011b, jako je PlaNet, p\u0159edstavuj\u00ed v\u00fdznamn\u00fd pokrok v anal\u00fdze obr\u00e1zk\u016f. V\u011bdci p\u0159edpov\u00eddaj\u00ed budoucnost, v n\u00ed\u017e budou tyto syst\u00e9my je\u0161t\u011b sofistikovan\u011bj\u0161\u00ed, co\u017e jim umo\u017en\u00ed se vz\u00e1jemn\u011b u\u010dit a prov\u00e1d\u011bt st\u00e1le slo\u017eit\u011bj\u0161\u00ed \u00falohy. S dal\u0161\u00edm v\u00fdvojem um\u011bl\u00e9 inteligence m\u016f\u017eeme o\u010dek\u00e1vat dal\u0161\u00ed pr\u016flomy, kter\u00e9 roz\u0161\u00ed\u0159\u00ed na\u0161i schopnost ch\u00e1pat vizu\u00e1ln\u00ed sv\u011bt a interagovat s n\u00edm.<\/p>\n\n<h2 class=\"wp-block-heading\">Dal\u0161\u00ed poznatky<\/h2>\n\n<ul class=\"wp-block-list\">\n<li>P\u0159esnost PlaNetu je d\u00e1na jeho obrovskou tr\u00e9ninkovou datovou sadou a pokro\u010dil\u00fdmi algoritmy strojov\u00e9ho u\u010den\u00ed.<\/li>\n<li>Potenci\u00e1ln\u00ed aplikace PlaNetu se roz\u0161i\u0159uj\u00ed za hranice lokalizace obr\u00e1zk\u016f a zahrnuj\u00ed rozpozn\u00e1v\u00e1n\u00ed objekt\u016f, rozpozn\u00e1v\u00e1n\u00ed obli\u010dej\u016f a anal\u00fdzu l\u00e9ka\u0159sk\u00fdch sn\u00edmk\u016f.<\/li>\n<li>S t\u00edm, jak neuronov\u00e9 s\u00edt\u011b s\u00edl\u00ed, se bude p\u0159esnost a rozsah lokalizace obr\u00e1zk\u016f nad\u00e1le zlep\u0161ovat.<\/li>\n<li>Je t\u0159eba vz\u00edt v \u00favahu etick\u00e9 d\u016fsledky lokalizace obr\u00e1zk\u016f zalo\u017een\u00e9 na um\u011bl\u00e9 inteligenci, zejm\u00e9na s ohledem na soukrom\u00ed a dohled.<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Nov\u00e1 um\u011bl\u00e1 inteligence od Googlu p\u0159esn\u011b lokalizuje p\u016fvod fotek P\u0159edstaven\u00ed PlaNet: Neuronov\u00e1 s\u00ed\u0165 Googlu pro lokalizaci obr\u00e1zk\u016f Google dos\u00e1hl zna\u010dn\u00e9ho pokroku v oblasti um\u011bl\u00e9 inteligence (AI) v\u00fdvojem PlaNetu, neuronov\u00e9 s\u00edt\u011b&hellip;<\/p>\n","protected":false},"author":6,"featured_media":23799,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2224],"tags":[19771,7721,19772,3506,19773,18056,1541,1254],"class_list":["post-14756","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-image-analysis","tag-deep-learning","tag-image-localization","tag-neural-networks","tag-planet","tag-computer-vision","tag-machine-learning","tag-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/posts\/14756","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/comments?post=14756"}],"version-history":[{"count":1,"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/posts\/14756\/revisions"}],"predecessor-version":[{"id":14757,"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/posts\/14756\/revisions\/14757"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/media\/23799"}],"wp:attachment":[{"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/media?parent=14756"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/categories?post=14756"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/tags?post=14756"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}