{"id":18654853,"url":"https://github.com/mynameisvinn/scene-classification","last_synced_at":"2025-07-28T09:06:34.421Z","repository":{"id":98221328,"uuid":"71648223","full_name":"mynameisvinn/Scene-Classification","owner":"mynameisvinn","description":"scene classification for 360 photos","archived":false,"fork":false,"pushed_at":"2017-06-29T22:54:06.000Z","size":94851,"stargazers_count":12,"open_issues_count":2,"forks_count":5,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-07-28T09:03:01.651Z","etag":null,"topics":["caffe","deep-learning","docker-image","scene-recognition"],"latest_commit_sha":null,"homepage":"","language":"Python","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/mynameisvinn.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,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2016-10-22T15:34:25.000Z","updated_at":"2023-03-24T03:32:29.000Z","dependencies_parsed_at":"2023-05-18T17:15:52.773Z","dependency_job_id":null,"html_url":"https://github.com/mynameisvinn/Scene-Classification","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mynameisvinn/Scene-Classification","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mynameisvinn%2FScene-Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mynameisvinn%2FScene-Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mynameisvinn%2FScene-Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mynameisvinn%2FScene-Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mynameisvinn","download_url":"https://codeload.github.com/mynameisvinn/Scene-Classification/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mynameisvinn%2FScene-Classification/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267489790,"owners_count":24095804,"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","status":"online","status_checked_at":"2025-07-28T02:00:09.689Z","response_time":68,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["caffe","deep-learning","docker-image","scene-recognition"],"created_at":"2024-11-07T07:16:50.862Z","updated_at":"2025-07-28T09:06:34.409Z","avatar_url":"https://github.com/mynameisvinn.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## what is this?\na scene classifier for 360 photos.\n\n205 scenes are recognized including mountains, aquariums, bookstores, soccer fields, etc. exotic settings are included too - castles, chalets, and catacombs. top-1 accuracy is 50.04% and top-5 accuracy is 81.10%. \n\n## specs\n* Ubuntu 14.04\n* [Caffe](http://caffe.berkeleyvision.org/)\n* [Numpy](http://www.numpy.org/), [SciPy](https://www.scipy.org/), [Pandas](http://pandas.pydata.org/), [Scikit Learn](http://scikit-learn.org/), [Matplotlib](http://matplotlib.org/)\n\n## ml deets\ntrained on 2.5m images comprising 205 unique scene categories from [mit's csail places](http://places.csail.mit.edu/). for details, read [\"places: an image database for deep scene understanding\"](http://places.csail.mit.edu/places2_arxiv.pdf).\n\n## get da docker\nbuilding caffe from source is not for the faint of heart so you should do the following:\n```\ngit clone https://github.com/mynameisvinn/scene_classification\ncd scene_classification\ndocker build -t scene_classification .\n```\n\n## run\n### option 1 (recommended)\nfrom command line, do\n```\ndocker run scene_classification python run_scene.py images/triple.jpg\n```\nyou should see top five predictions, in order of confidence: water park, ocean, lagoon, beach, coast.\n### option 2\nfrom command line, do\n```\ndocker run -it mynameisvinn/scene_classification\n```\nthen do\n```\n$ python run_scene.py images/park.jpg\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmynameisvinn%2Fscene-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmynameisvinn%2Fscene-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmynameisvinn%2Fscene-classification/lists"}