{"id":13426288,"url":"https://github.com/aysark/sky-insight","last_synced_at":"2025-03-15T21:31:09.167Z","repository":{"id":144820244,"uuid":"119198828","full_name":"aysark/sky-insight","owner":"aysark","description":"Hack the Map 2018 Winning Entry: Easily train machine learning models using tile maps \u0026 ArcGIS.","archived":false,"fork":false,"pushed_at":"2018-02-02T05:24:57.000Z","size":33129,"stargazers_count":8,"open_issues_count":0,"forks_count":6,"subscribers_count":5,"default_branch":"master","last_synced_at":"2024-10-28T05:11:57.603Z","etag":null,"topics":["arcgis","esri","hackathon","image-classification","machine-learning","satellite","sky-insight"],"latest_commit_sha":null,"homepage":"","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aysark.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2018-01-27T20:11:46.000Z","updated_at":"2020-08-12T07:46:42.000Z","dependencies_parsed_at":"2024-02-03T08:52:57.105Z","dependency_job_id":"3412d2fd-2bd5-4764-b734-da8a5d25d447","html_url":"https://github.com/aysark/sky-insight","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aysark%2Fsky-insight","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aysark%2Fsky-insight/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aysark%2Fsky-insight/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aysark%2Fsky-insight/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aysark","download_url":"https://codeload.github.com/aysark/sky-insight/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243792343,"owners_count":20348626,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["arcgis","esri","hackathon","image-classification","machine-learning","satellite","sky-insight"],"created_at":"2024-07-31T00:01:31.015Z","updated_at":"2025-03-15T21:31:04.154Z","avatar_url":"https://github.com/aysark.png","language":"JavaScript","funding_links":[],"categories":["JavaScript"],"sub_categories":[],"readme":"# sky-insight\n![Demo Video](src/assets/sky-insight-preview-small.gif)\n\nsky-insight allows you to:\n- Easily train image classification machine learning models using satellite/aerial tile imagery \u0026 ArcGIS.\n- Enrich your existing GIS data with real world planetary data.\n- Monitor the physical world with ease using automation \u0026 image classification.\n\nIt features two modus operandi:\n### Search\n![Preview](src/assets/preview.png)\n\nSearch mode allows you to use your trained models or any existing models to automatically infer/predict on an area of interest of tiles.  You can then export your predictions as feature sets or geojson.  Above image is a ship tile classifier. \n\n### Train\n![Preview](src/assets/preview2.png)\n\nTrain mode allows you to easily train your own image classification models using a simple tile annotation tool.  So you can build ship, airplane, oil tank, pivot irrigation farm classifiers- or whatever you fancy.  Above image is training of a pivot irrigation tile classifier. \n\n\n## Build \u0026 Run\n\n``` bash\n# install dependencies\nnpm install\n\n# rename sample.env.js to env.js and fill in tokens\n\n# serve with hot reload at localhost:8080\nnpm run dev\n\n# build for production with minification\nnpm run build\n```\n\nFor detailed explanation on how things work, consult the [docs for vue-loader](http://vuejs.github.io/vue-loader).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faysark%2Fsky-insight","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faysark%2Fsky-insight","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faysark%2Fsky-insight/lists"}