{"id":14559,"date":"2026-09-10T12:59:14","date_gmt":"2026-09-10T12:59:14","guid":{"rendered":"https:\/\/anotherearth.ai\/perguntas-frequentes\/"},"modified":"2026-09-16T12:47:02","modified_gmt":"2026-09-16T12:47:02","slug":"perguntas-frequentes","status":"publish","type":"page","link":"https:\/\/anotherearth.ai\/pt-br\/perguntas-frequentes\/","title":{"rendered":"Perguntas frequentes"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"14559\" class=\"elementor elementor-14559 elementor-12224\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3ee9c17 e-con-full e-flex e-con e-parent\" data-id=\"3ee9c17\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3a6382c elementor-widget elementor-widget-heading\" data-id=\"3a6382c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Perguntas frequentes<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7961ce1e e-flex e-con-boxed e-con e-parent\" data-id=\"7961ce1e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-45e30912 elementor-widget elementor-widget-n-accordion\" data-id=\"45e30912\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;default_state&quot;:&quot;expanded&quot;,&quot;max_items_expended&quot;:&quot;one&quot;,&quot;n_accordion_animation_duration&quot;:{&quot;unit&quot;:&quot;ms&quot;,&quot;size&quot;:400,&quot;sizes&quot;:[]}}\" data-widget_type=\"nested-accordion.default\">\n\t\t\t\t\t\t\t<div class=\"e-n-accordion\" aria-label=\"Accordion. Open links with Enter or Space, close with Escape, and navigate with Arrow Keys\">\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1170\" class=\"e-n-accordion-item\" open>\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"true\" aria-controls=\"e-n-accordion-item-1170\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> O que \u00e9 a Another Earth e em que ela difere da Observa\u00e7\u00e3o da Terra tradicional? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-seedling\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M64 96H0c0 123.7 100.3 224 224 224v144c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V320C288 196.3 187.7 96 64 96zm384-64c-84.2 0-157.4 46.5-195.7 115.2 27.7 30.2 48.2 66.9 59 107.6C424 243.1 512 147.9 512 32h-64z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1170\" class=\"elementor-element elementor-element-157cac95 e-con-full e-flex e-con e-child\" data-id=\"157cac95\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1170\" class=\"elementor-element elementor-element-19574849 e-flex e-con-boxed e-con e-child\" data-id=\"19574849\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1b286140 elementor-widget elementor-widget-text-editor\" data-id=\"1b286140\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p class=\"p1\"><span data-path-to-node=\"1,0\">A Another Earth \u00e9 uma empresa que est\u00e1 construindo a camada de dados preditiva para o mundo f\u00edsico, indo al\u00e9m do monitoramento retrospectivo para a simula\u00e7\u00e3o de cen\u00e1rios voltada ao futuro<\/span><span data-path-to-node=\"1,2\">. Usando dados sint\u00e9ticos de observa\u00e7\u00e3o da Terra em alta resolu\u00e7\u00e3o, a plataforma ajuda organiza\u00e7\u00f5es a treinar modelos de IA melhores, simular riscos ambientais futuros e modelar como as paisagens evoluem ao longo do tempo<\/span><span data-path-to-node=\"1,4\">.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1171\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1171\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Como os dados sint\u00e9ticos reduzem a necessidade de dados anotados manualmente? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-seedling\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M64 96H0c0 123.7 100.3 224 224 224v144c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V320C288 196.3 187.7 96 64 96zm384-64c-84.2 0-157.4 46.5-195.7 115.2 27.7 30.2 48.2 66.9 59 107.6C424 243.1 512 147.9 512 32h-64z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1171\" class=\"elementor-element elementor-element-581aaadc e-con-full e-flex e-con e-child\" data-id=\"581aaadc\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1171\" class=\"elementor-element elementor-element-29c43199 e-flex e-con-boxed e-con e-child\" data-id=\"29c43199\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6a7d337 elementor-widget elementor-widget-text-editor\" data-id=\"6a7d337\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p class=\"p1\"><span data-path-to-node=\"3,0\">A anota\u00e7\u00e3o manual \u00e9 cara, lenta e apresenta taxas de erro humano de at\u00e9 50%<\/span><span data-path-to-node=\"3,2\">. Nosso mecanismo propriet\u00e1rio de dados sint\u00e9ticos, Reverie, gera automaticamente conjuntos de dados pr\u00e9-anotados, com precis\u00e3o em n\u00edvel de pixel, sob demanda<\/span><span data-path-to-node=\"3,4\">. Em testes de benchmark, modelos treinados com apenas 500 imagens reais, complementadas com dados sint\u00e9ticos, igualaram a pontua\u00e7\u00e3o de acur\u00e1cia de 0,73 mIoU de modelos que exigiam 10.000 imagens reais \u2014 reduzindo as depend\u00eancias de ground truth em 95%<\/span><span data-path-to-node=\"3,6\">.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1172\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1172\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Quais setores e aplica\u00e7\u00f5es a Another Earth atende? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-seedling\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M64 96H0c0 123.7 100.3 224 224 224v144c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V320C288 196.3 187.7 96 64 96zm384-64c-84.2 0-157.4 46.5-195.7 115.2 27.7 30.2 48.2 66.9 59 107.6C424 243.1 512 147.9 512 32h-64z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1172\" class=\"elementor-element elementor-element-73ce40e9 e-flex e-con-boxed e-con e-child\" data-id=\"73ce40e9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1172\" class=\"elementor-element elementor-element-2038279 e-flex e-con-boxed e-con e-child\" data-id=\"2038279\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2617048 elementor-widget elementor-widget-text-editor\" data-id=\"2617048\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p id=\"p-rc_0e51e5a4cd845441-79\" data-path-to-node=\"7\"><span data-path-to-node=\"7,0\">A plataforma impulsiona aplica\u00e7\u00f5es de deep learning em v\u00e1rios setores principais<\/span><span data-path-to-node=\"7,2\">:<\/span><\/p><ul data-path-to-node=\"8\"><li><p id=\"p-rc_0e51e5a4cd845441-80\" data-path-to-node=\"8,0,0\"><span data-path-to-node=\"8,0,0,0\"><b data-path-to-node=\"8,0,0,0\" data-index-in-node=\"0\">Agricultura &#038; Silvicultura:<\/b> Classifica\u00e7\u00e3o de esp\u00e9cies (Tree AI), estimativa de biomassa e rastreamento precoce de doen\u00e7as, como a Cocoa Swollen Shoot Virus Disease (CoMPASS)<\/span><span data-path-to-node=\"8,0,0,2\">.<\/span><\/p><\/li><li><p id=\"p-rc_0e51e5a4cd845441-81\" data-path-to-node=\"8,1,0\"><span data-path-to-node=\"8,1,0,0\"><b data-path-to-node=\"8,1,0,0\" data-index-in-node=\"0\">Minera\u00e7\u00e3o &#038; Mat\u00e9rias-primas:<\/b> Previs\u00e3o de mudan\u00e7as na paisagem, previs\u00e3o de estabilidade de taludes e relat\u00f3rios automatizados de impacto ESG (PreVision)<\/span><span data-path-to-node=\"8,1,0,2\">.<\/span><\/p><\/li><li><p id=\"p-rc_0e51e5a4cd845441-82\" data-path-to-node=\"8,2,0\"><span data-path-to-node=\"8,2,0,0\"><b data-path-to-node=\"8,2,0,0\" data-index-in-node=\"0\">Cobertura do Solo &#038; An\u00e1lise Urbana:<\/b> Segmenta\u00e7\u00e3o de cobertura do solo em m\u00faltiplas resolu\u00e7\u00f5es, abrangendo um grande n\u00famero de classes.<\/span><\/p><\/li><li><p id=\"p-rc_0e51e5a4cd845441-83\" data-path-to-node=\"8,3,0\"><span data-path-to-node=\"8,3,0,0\"><b data-path-to-node=\"8,3,0,0\" data-index-in-node=\"0\">Energia &#038; Infraestrutura:<\/b> Monitoramento de ativos, contagem de pain\u00e9is solares e modelagem preditiva de risco de enchentes\/desastres<\/span><span data-path-to-node=\"8,3,0,2\">.<\/span><\/p><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1173\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1173\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Como os conjuntos de dados sint\u00e9ticos se integram ao nosso pipeline de MLOps existente? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-seedling\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M64 96H0c0 123.7 100.3 224 224 224v144c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V320C288 196.3 187.7 96 64 96zm384-64c-84.2 0-157.4 46.5-195.7 115.2 27.7 30.2 48.2 66.9 59 107.6C424 243.1 512 147.9 512 32h-64z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1173\" class=\"elementor-element elementor-element-2a941307 e-flex e-con-boxed e-con e-child\" data-id=\"2a941307\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2702f2d3 elementor-widget elementor-widget-text-editor\" data-id=\"2702f2d3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p class=\"p1\"><span data-path-to-node=\"10,0\">Os conjuntos de dados s\u00e3o exportados em formatos geoespaciais padr\u00e3o \u2014 incluindo GeoTIFFs multibanda, mapas de eleva\u00e7\u00e3o DSM, JSON filrx \u2014 para ingest\u00e3o cont\u00ednua em ambientes de nuvem e frameworks de IA como PyTorch ou TensorFlow<\/span><span data-path-to-node=\"10,2\">. Como os dados s\u00e3o gerados algoritmicamente, isso elimina as restri\u00e7\u00f5es de conformidade com o GDPR e de privacidade associadas a imagens do mundo real<\/span><span data-path-to-node=\"10,4\">.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1174\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"5\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1174\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Como a plataforma lida com a cobertura de nuvens? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-seedling\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M64 96H0c0 123.7 100.3 224 224 224v144c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V320C288 196.3 187.7 96 64 96zm384-64c-84.2 0-157.4 46.5-195.7 115.2 27.7 30.2 48.2 66.9 59 107.6C424 243.1 512 147.9 512 32h-64z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1174\" class=\"elementor-element elementor-element-78a797d e-flex e-con-boxed e-con e-child\" data-id=\"78a797d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-148d1c8b elementor-widget elementor-widget-text-editor\" data-id=\"148d1c8b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span data-path-to-node=\"5,0\">A cobertura de nuvens e as sombras frequentemente ocultam detalhes da superf\u00edcie e atrasam a detec\u00e7\u00e3o precoce de perigos<\/span><span data-path-to-node=\"5,2\">. Por meio de modelos dedicados e gera\u00e7\u00e3o sint\u00e9tica de nuvens, renderizamos tipos e densidades espec\u00edficos de nuvens \u2014 contendo 2,3x mais nuvens finas do que arquivos reais \u2014 para treinar algoritmos avan\u00e7ados de detec\u00e7\u00e3o e remo\u00e7\u00e3o de nuvens<\/span><span data-path-to-node=\"5,4\">. Isso limpa pixels oclu\u00eddos e aplica super-resolu\u00e7\u00e3o para reconstruir imagens claras e acion\u00e1veis<\/span><span data-path-to-node=\"5,6\">.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1175\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"6\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1175\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Como o aprimoramento 3D procedural automatiza a anota\u00e7\u00e3o e por que ele \u00e9 superior \u00e0 rotulagem manual? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-seedling\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M64 96H0c0 123.7 100.3 224 224 224v144c0 8.8 7.2 16 16 16h32c8.8 0 16-7.2 16-16V320C288 196.3 187.7 96 64 96zm384-64c-84.2 0-157.4 46.5-195.7 115.2 27.7 30.2 48.2 66.9 59 107.6C424 243.1 512 147.9 512 32h-64z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1175\" class=\"elementor-element elementor-element-7c35e61 e-flex e-con-boxed e-con e-child\" data-id=\"7c35e61\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6d1a23bb elementor-widget elementor-widget-text-editor\" data-id=\"6d1a23bb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span data-path-to-node=\"1,0\">A anota\u00e7\u00e3o manual de imagens de sat\u00e9lite \u00e9 lenta, cara e sujeita a taxas de erro humano que podem reduzir a acur\u00e1cia do modelo em at\u00e9 50%<\/span><span data-path-to-node=\"1,2\">. O mecanismo da Another Earth combina gera\u00e7\u00e3o baseada em IA com aprimoramento 3D procedural para construir ambientes f\u00edsicos hiper-realistas<\/span><span data-path-to-node=\"1,4\">. Como as cenas 3D s\u00e3o renderizadas proceduralmente, m\u00e1scaras de segmenta\u00e7\u00e3o com precis\u00e3o em n\u00edvel de pixel, mapas de eleva\u00e7\u00e3o DSM e r\u00f3tulos de inst\u00e2ncia s\u00e3o calculados automaticamente no exato momento da cria\u00e7\u00e3o \u2014 eliminando completamente os custos de rotulagem manual e o erro humano, ao mesmo tempo que gera dados de treinamento ricos em segundos<\/span><span data-path-to-node=\"1,6\">.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Perguntas frequentes O que \u00e9 a Another Earth e em que ela difere da Observa\u00e7\u00e3o da Terra tradicional? A Another Earth \u00e9 uma empresa que est\u00e1 construindo a camada de dados preditiva para o mundo f\u00edsico, indo al\u00e9m do monitoramento retrospectivo para a simula\u00e7\u00e3o de cen\u00e1rios voltada ao futuro. Usando dados sint\u00e9ticos de observa\u00e7\u00e3o da [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":14560,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-14559","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/anotherearth.ai\/pt-br\/wp-json\/wp\/v2\/pages\/14559","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/anotherearth.ai\/pt-br\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/anotherearth.ai\/pt-br\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/anotherearth.ai\/pt-br\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/anotherearth.ai\/pt-br\/wp-json\/wp\/v2\/comments?post=14559"}],"version-history":[{"count":1,"href":"https:\/\/anotherearth.ai\/pt-br\/wp-json\/wp\/v2\/pages\/14559\/revisions"}],"predecessor-version":[{"id":14561,"href":"https:\/\/anotherearth.ai\/pt-br\/wp-json\/wp\/v2\/pages\/14559\/revisions\/14561"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/anotherearth.ai\/pt-br\/wp-json\/wp\/v2\/media\/14560"}],"wp:attachment":[{"href":"https:\/\/anotherearth.ai\/pt-br\/wp-json\/wp\/v2\/media?parent=14559"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}