{"id":29021685,"url":"https://github.com/mapiv/detectron2","last_synced_at":"2025-10-08T19:16:31.573Z","repository":{"id":284672612,"uuid":"952415323","full_name":"MapIV/detectron2","owner":"MapIV","description":null,"archived":false,"fork":false,"pushed_at":"2025-03-27T03:41:55.000Z","size":1092,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-26T02:07:33.850Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MapIV.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":".github/CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":".github/CODE_OF_CONDUCT.md","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":"2025-03-21T08:42:22.000Z","updated_at":"2025-03-27T03:41:58.000Z","dependencies_parsed_at":"2025-03-27T04:39:17.808Z","dependency_job_id":null,"html_url":"https://github.com/MapIV/detectron2","commit_stats":null,"previous_names":["mapiv/detectron2"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/MapIV/detectron2","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MapIV%2Fdetectron2","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MapIV%2Fdetectron2/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MapIV%2Fdetectron2/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MapIV%2Fdetectron2/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MapIV","download_url":"https://codeload.github.com/MapIV/detectron2/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MapIV%2Fdetectron2/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279000707,"owners_count":26082805,"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":"2025-10-08T02:00:06.501Z","response_time":56,"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":[],"created_at":"2025-06-26T02:07:27.450Z","updated_at":"2025-10-08T19:16:31.558Z","avatar_url":"https://github.com/MapIV.png","language":"Python","readme":"\u003cimg src=\".github/Detectron2-Logo-Horz.svg\" width=\"300\" \u003e\n\n\u003ca href=\"https://opensource.facebook.com/support-ukraine\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Support-Ukraine-FFD500?style=flat\u0026labelColor=005BBB\" alt=\"Support Ukraine - Help Provide Humanitarian Aid to Ukraine.\" /\u003e\n\u003c/a\u003e\n\nDetectron2 is Facebook AI Research's next generation library\nthat provides state-of-the-art detection and segmentation algorithms.\nIt is the successor of\n[Detectron](https://github.com/facebookresearch/Detectron/)\nand [maskrcnn-benchmark](https://github.com/facebookresearch/maskrcnn-benchmark/).\nIt supports a number of computer vision research projects and production applications in Facebook.\n\n\u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"https://user-images.githubusercontent.com/1381301/66535560-d3422200-eace-11e9-9123-5535d469db19.png\"/\u003e\n\u003c/div\u003e\n\u003cbr\u003e\n\n## Learn More about Detectron2\n\nExplain Like I’m 5: Detectron2            |  Using Machine Learning with Detectron2\n:-------------------------:|:-------------------------:\n[![Explain Like I’m 5: Detectron2](https://img.youtube.com/vi/1oq1Ye7dFqc/0.jpg)](https://www.youtube.com/watch?v=1oq1Ye7dFqc)  |  [![Using Machine Learning with Detectron2](https://img.youtube.com/vi/eUSgtfK4ivk/0.jpg)](https://www.youtube.com/watch?v=eUSgtfK4ivk)\n\n## What's New\n* Includes new capabilities such as panoptic segmentation, Densepose, Cascade R-CNN, rotated bounding boxes, PointRend,\n  DeepLab, ViTDet, MViTv2 etc.\n* Used as a library to support building [research projects](projects/) on top of it.\n* Models can be exported to TorchScript format or Caffe2 format for deployment.\n* It [trains much faster](https://detectron2.readthedocs.io/notes/benchmarks.html).\n\nSee our [blog post](https://ai.facebook.com/blog/-detectron2-a-pytorch-based-modular-object-detection-library-/)\nto see more demos and learn about detectron2.\n\n## Installation\n\nSee [installation instructions](https://detectron2.readthedocs.io/tutorials/install.html).\n\n## Getting Started\n\nSee [Getting Started with Detectron2](https://detectron2.readthedocs.io/tutorials/getting_started.html),\nand the [Colab Notebook](https://colab.research.google.com/drive/16jcaJoc6bCFAQ96jDe2HwtXj7BMD_-m5)\nto learn about basic usage.\n\nLearn more at our [documentation](https://detectron2.readthedocs.org).\nAnd see [projects/](projects/) for some projects that are built on top of detectron2.\n\n## Model Zoo and Baselines\n\nWe provide a large set of baseline results and trained models available for download in the [Detectron2 Model Zoo](MODEL_ZOO.md).\n\n## License\n\nDetectron2 is released under the [Apache 2.0 license](LICENSE).\n\n## Citing Detectron2\n\nIf you use Detectron2 in your research or wish to refer to the baseline results published in the [Model Zoo](MODEL_ZOO.md), please use the following BibTeX entry.\n\n```BibTeX\n@misc{wu2019detectron2,\n  author =       {Yuxin Wu and Alexander Kirillov and Francisco Massa and\n                  Wan-Yen Lo and Ross Girshick},\n  title =        {Detectron2},\n  howpublished = {\\url{https://github.com/facebookresearch/detectron2}},\n  year =         {2019}\n}\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmapiv%2Fdetectron2","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmapiv%2Fdetectron2","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmapiv%2Fdetectron2/lists"}