{"id":17998421,"url":"https://github.com/primaryobjects/colorbot","last_synced_at":"2026-03-09T07:31:37.343Z","repository":{"id":8717531,"uuid":"10387564","full_name":"primaryobjects/colorbot","owner":"primaryobjects","description":"A neural network color bot that uses machine learning (artificial intelligence) to categorize pictures as red, green, or blue overall. Uses node.js and mongodb.","archived":false,"fork":false,"pushed_at":"2020-08-28T22:20:16.000Z","size":7071,"stargazers_count":25,"open_issues_count":0,"forks_count":14,"subscribers_count":6,"default_branch":"master","last_synced_at":"2024-10-29T22:50:29.115Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/primaryobjects.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}},"created_at":"2013-05-30T16:54:11.000Z","updated_at":"2023-05-13T20:41:47.000Z","dependencies_parsed_at":"2022-09-04T23:20:12.349Z","dependency_job_id":null,"html_url":"https://github.com/primaryobjects/colorbot","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/primaryobjects/colorbot","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/primaryobjects%2Fcolorbot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/primaryobjects%2Fcolorbot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/primaryobjects%2Fcolorbot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/primaryobjects%2Fcolorbot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/primaryobjects","download_url":"https://codeload.github.com/primaryobjects/colorbot/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/primaryobjects%2Fcolorbot/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30287425,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-09T02:57:19.223Z","status":"ssl_error","status_checked_at":"2026-03-09T02:56:26.373Z","response_time":61,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":[],"created_at":"2024-10-29T21:25:15.757Z","updated_at":"2026-03-09T07:31:37.319Z","avatar_url":"https://github.com/primaryobjects.png","language":"JavaScript","readme":"ColorBot Neural Network\n=======================\n\n![Machine learning image classification in javascript.](public/images/screenshot.png)\n\n## Demo\n\nhttp://colorbot.herokuapp.com\n\n## About\n\nColorBot Neural Network uses machine learning (ie., artificial intelligence) to learn which pictures are generally red, green, or blue overall. It does this by using a trained neural network, which functions similar to the human brain.\n\nThe neural network (we'll call it the 'brain') was initially trained to 100% accuracy on a collection of 258 images. Each image was labeled as being red, green, or blue in nature. The brain used backpropagation to reduce the errors until it arrived at the target accuracy rate.\n\nOnce training was complete, the brain tried guessing the color on 470 images that it's never seen before. On this test set, the brain achieved an accuracy of 97.6%. Not bad!\n\nThe app uses node.js, mongodb, and twitter bootstrap.\n\n## Configuration\n\nSet the environment variable `MONGO_URL` to your database connection string.\n\n#### Linux\n```bash\nexport MONGO_URL=mongodb://\n```\n\n#### Windows\n```bash\nSET MONGO_URL=mongodb://\n```\n\nThen run the app.\n\n```bash\nnode app\n```","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprimaryobjects%2Fcolorbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprimaryobjects%2Fcolorbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprimaryobjects%2Fcolorbot/lists"}