{"id":17830643,"url":"https://github.com/maning/robosat-viz","last_synced_at":"2025-08-13T22:32:01.755Z","repository":{"id":139556001,"uuid":"140271824","full_name":"maning/robosat-viz","owner":"maning","description":"Visualization of Robosat🤖  trained imagery","archived":false,"fork":false,"pushed_at":"2019-07-10T04:33:24.000Z","size":58,"stargazers_count":2,"open_issues_count":1,"forks_count":4,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-10-27T22:00:41.799Z","etag":null,"topics":["image-processing","machine-learning","philippines"],"latest_commit_sha":null,"homepage":"","language":"CSS","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/maning.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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,"publiccode":null,"codemeta":null}},"created_at":"2018-07-09T10:48:27.000Z","updated_at":"2021-09-22T13:04:08.000Z","dependencies_parsed_at":null,"dependency_job_id":"e36536b5-7823-4552-a6d3-236335165096","html_url":"https://github.com/maning/robosat-viz","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/maning%2Frobosat-viz","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maning%2Frobosat-viz/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maning%2Frobosat-viz/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maning%2Frobosat-viz/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/maning","download_url":"https://codeload.github.com/maning/robosat-viz/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":229785503,"owners_count":18123817,"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":["image-processing","machine-learning","philippines"],"created_at":"2024-10-27T19:35:47.138Z","updated_at":"2024-12-15T05:24:17.020Z","avatar_url":"https://github.com/maning.png","language":"CSS","funding_links":[],"categories":[],"sub_categories":[],"readme":"# robosat-viz\n\n## What\n\n* Visualization of [Robosat](https://github.com/mapbox/robosat/)🤖  trained imagery in the Philippines 🇵🇭.\n* TMS are hosted in s3.\n* Imagery are in webp format, use a webp compliant browser. \n* Use it in anyway you want **except when it violates human rights and the destruction of our home planet.**\n\n## List\n* [American Red Cross drone footage in Visayas](https://maning.github.io/robosat-viz/arc.html) - building detection from drone captured by the American Red Cross.\n* [Narvacan Sulvec Port Road, Philippines](https://maning.github.io/robosat-viz/narvacan-sulvec.html) - testing pre-trained model on another drone footage at Narvacan.\n* [Villa Imelda, MacArthur, Philippines](https://maning.github.io/robosat-viz/villaimelda-macarthur.html) - detection using a z21 pre-trained model to a z20-21 imagery tiles.\n* [Leda Coz Bazar, Bangladesh](https://maning.github.io/robosat-viz/leda-cox-bazar.html) - detection using a z21 pre-trained model to a z20 imagery tiles taken by IOM Drone Imagery project for the Rohingya refugees.\n* [Can-Avid Eastern Samar, Philippines](https://maning.github.io/robosat-viz/can-avid.html) - detection from post-typhoon imagery (2014-12-01) captured by SkyEye (4cm).\n\n## Notes\n\n* [OSM diary on data preparation](https://www.openstreetmap.org/user/maning/diary/44462)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaning%2Frobosat-viz","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmaning%2Frobosat-viz","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaning%2Frobosat-viz/lists"}