{"id":13562892,"url":"https://github.com/lvis-dataset/lvis-api","last_synced_at":"2025-10-21T19:21:40.383Z","repository":{"id":47721021,"uuid":"201142472","full_name":"lvis-dataset/lvis-api","owner":"lvis-dataset","description":"Python API for LVIS Dataset","archived":false,"fork":false,"pushed_at":"2024-02-21T00:43:47.000Z","size":4416,"stargazers_count":402,"open_issues_count":12,"forks_count":62,"subscribers_count":12,"default_branch":"master","last_synced_at":"2024-08-01T13:28:14.525Z","etag":null,"topics":["computer-vision","object-detection"],"latest_commit_sha":null,"homepage":"http://lvisdataset.org","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/lvis-dataset.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2019-08-07T23:30:44.000Z","updated_at":"2024-07-28T20:03:26.000Z","dependencies_parsed_at":"2024-02-21T01:47:44.219Z","dependency_job_id":null,"html_url":"https://github.com/lvis-dataset/lvis-api","commit_stats":{"total_commits":17,"total_committers":6,"mean_commits":"2.8333333333333335","dds":0.4117647058823529,"last_synced_commit":"da5f65d16237637d848a51713556c48ca521bc18"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lvis-dataset%2Flvis-api","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lvis-dataset%2Flvis-api/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lvis-dataset%2Flvis-api/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lvis-dataset%2Flvis-api/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lvis-dataset","download_url":"https://codeload.github.com/lvis-dataset/lvis-api/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":223019986,"owners_count":17074738,"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":["computer-vision","object-detection"],"created_at":"2024-08-01T13:01:13.189Z","updated_at":"2025-10-21T19:21:40.281Z","avatar_url":"https://github.com/lvis-dataset.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# \u003cimg src=\"images/lvis_icon.svg\" height=\"40\"\u003e LVIS API\n\n\nLVIS (pronounced ‘el-vis’): is a new dataset for Large Vocabulary Instance Segmentation.\nWhen complete, it will feature more than 2 million high-quality instance segmentation masks for over 1200 entry-level object categories in 164k images. The LVIS API enables reading and interacting with annotation files, visualizing annotations, and evaluating results.\n\n\u003cimg src=\"images/examples.png\"/\u003e\n\n## LVIS v1.0\n\nFor this release, we have annotated 159,623 images (100k train, 20k val, 20k test-dev, 20k test-challenge). Release v1.0 is publicly available at [LVIS website](http://www.lvisdataset.org) and will be used in the second LVIS Challenge to be held at Joint COCO and LVIS Workshop at ECCV 2020.\n\n## Setup\nYou can setup a virtual environment and then install `lvisapi` using pip:\n\n```bash\npython3 -m venv env               # Create a virtual environment\nsource env/bin/activate           # Activate virtual environment\n\n# install COCO API. COCO API requires numpy to install. Ensure that you installed numpy.\npip install 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'\n# install LVIS API\npip install lvis\n# Work for a while ...\ndeactivate  # Exit virtual environment\n```\n\nYou can also clone the repo first and then do the following steps inside the repo:\n```bash\npython3 -m venv env               # Create a virtual environment\nsource env/bin/activate           # Activate virtual environment\n\n# install COCO API. COCO API requires numpy to install. Ensure that you installed numpy.\npip install 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'\n# install LVIS API\npip install .\n# test if the installation was correct\npython test.py\n# Work for a while ...\ndeactivate  # Exit virtual environment\n```\n## Citing LVIS\n\nIf you find this code/data useful in your research then please cite our [paper](https://arxiv.org/abs/1908.03195):\n```\n@inproceedings{gupta2019lvis,\n  title={{LVIS}: A Dataset for Large Vocabulary Instance Segmentation},\n  author={Gupta, Agrim and Dollar, Piotr and Girshick, Ross},\n  booktitle={Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition},\n  year={2019}\n}\n```\n\n## Credit\n\nThe code is a re-write of PythonAPI for [COCO](https://github.com/cocodataset/cocoapi).\nThe core functionality is the same with LVIS specific changes.  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flvis-dataset%2Flvis-api","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flvis-dataset%2Flvis-api","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flvis-dataset%2Flvis-api/lists"}