10:[["$","meta","0",{"name":"viewport","content":"width=device-width, initial-scale=1"}],["$","meta","1",{"charSet":"utf-8"}],["$","title","2",{"children":"Announcing the new EDGE AI Challenge: Wake Vision 2! | EDGE AI FOUNDATION"}],["$","meta","3",{"name":"description","content":"

This competition challenges participants to push the boundaries of ultra-low-power tiny computer vision by enhancing the data quality of edge AI datasets.

Participants will work on the common edge AI use-case of identifying whether a person is present in the image or not, leveraging the newly released Wake Vision dataset (https://wakevision.ai/).

\n"}],["$","meta","4",{"name":"robots","content":"index, follow"}],["$","meta","5",{"name":"googlebot","content":"index, follow, max-video-preview:-1, max-image-preview:large, max-snippet:-1"}],["$","meta","6",{"property":"og:title","content":"Announcing the new EDGE AI Challenge: Wake Vision 2!"}],["$","meta","7",{"property":"og:description","content":"

This competition challenges participants to push the boundaries of ultra-low-power tiny computer vision by enhancing the data quality of edge AI datasets.

Participants will work on the common edge AI use-case of identifying whether a person is present in the image or not, leveraging the newly released Wake Vision dataset (https://wakevision.ai/).

\n"}],["$","meta","8",{"property":"og:image","content":"https://cms.tinyml.org/wp-content/uploads/summit2024/EDGE-AI-Challenge-Wake-Vision-2-16.9-.jpg"}],["$","meta","9",{"property":"og:image:width","content":"1200"}],["$","meta","10",{"property":"og:image:height","content":"630"}],["$","meta","11",{"property":"og:image:type","content":"image/png"}],["$","meta","12",{"property":"og:type","content":"article"}],["$","meta","13",{"name":"twitter:card","content":"summary_large_image"}],["$","meta","14",{"name":"twitter:site","content":"@edgeaifoundation"}],["$","meta","15",{"name":"twitter:title","content":"Announcing the new EDGE AI Challenge: Wake Vision 2!"}],["$","meta","16",{"name":"twitter:description","content":"

This competition challenges participants to push the boundaries of ultra-low-power tiny computer vision by enhancing the data quality of edge AI datasets.

Participants will work on the common edge AI use-case of identifying whether a person is present in the image or not, leveraging the newly released Wake Vision dataset (https://wakevision.ai/).

\n"}],["$","meta","17",{"name":"twitter:image","content":"https://cms.tinyml.org/wp-content/uploads/summit2024/EDGE-AI-Challenge-Wake-Vision-2-16.9-.jpg"}],["$","meta","18",{"name":"twitter:image:width","content":"1200"}],["$","meta","19",{"name":"twitter:image:height","content":"630"}],["$","meta","20",{"name":"twitter:image:type","content":"image/png"}],["$","link","21",{"rel":"icon","href":"/favicon.ico","type":"image/x-icon","sizes":"48x48"}],["$","link","22",{"rel":"icon","href":"/icon0.svg?8530568a144b5291","type":"image/svg+xml","sizes":"any"}],["$","link","23",{"rel":"icon","href":"/icon1.png?902af7e995e5785d","type":"image/png","sizes":"96x96"}],["$","link","24",{"rel":"apple-touch-icon","href":"/apple-icon.png?15b6bdf43f451bf9","type":"image/png","sizes":"180x180"}],["$","meta","25",{"name":"next-size-adjust"}]]