{"id":13778187,"url":"https://github.com/StanfordVL/taskonomy","last_synced_at":"2025-05-11T11:35:17.088Z","repository":{"id":30751090,"uuid":"114683091","full_name":"StanfordVL/taskonomy","owner":"StanfordVL","description":"Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]","archived":false,"fork":false,"pushed_at":"2022-12-08T01:00:20.000Z","size":28256,"stargazers_count":837,"open_issues_count":32,"forks_count":146,"subscribers_count":33,"default_branch":"master","last_synced_at":"2024-08-03T18:12:27.320Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://taskonomy.vision","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/StanfordVL.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}},"created_at":"2017-12-18T20:08:09.000Z","updated_at":"2024-07-29T19:17:33.000Z","dependencies_parsed_at":"2023-01-14T17:45:49.324Z","dependency_job_id":null,"html_url":"https://github.com/StanfordVL/taskonomy","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/StanfordVL%2Ftaskonomy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/StanfordVL%2Ftaskonomy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/StanfordVL%2Ftaskonomy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/StanfordVL%2Ftaskonomy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/StanfordVL","download_url":"https://codeload.github.com/StanfordVL/taskonomy/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225043290,"owners_count":17411956,"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":[],"created_at":"2024-08-03T18:00:51.916Z","updated_at":"2024-11-17T13:31:29.752Z","avatar_url":"https://github.com/StanfordVL.png","language":"Python","funding_links":[],"categories":["Datasets"],"sub_categories":[],"readme":"# [Taskonomy: Disentangling Task Transfer Learning](https://taskonomy.vision/)\n\nThis repository contains:\n- [pretrained models (task bank)](https://github.com/StanfordVL/taskonomy/tree/master/taskbank) [PyTorch + TensorFlow].\n- [dataset](https://github.com/StanfordVL/taskonomy/tree/master/data)\n- [reference code](https://github.com/StanfordVL/taskonomy/tree/master/code)\n- [task affinity analyses and results](https://github.com/StanfordVL/taskonomy/tree/master/results)\n\nfor the the following paper:\n\n#### [Taskonomy: Disentangling Task Transfer Learning](https://taskonomy.vision/) (CVPR 2018, Best Paper Award)\nAmir Zamir, Alexander Sax*, William Shen*, Leonidas Guibas, Jitendra Malik, Silvio Savarese. \n\n\n\n| [TASK BANK](https://github.com/StanfordVL/taskonomy/tree/master/taskbank) | [DATASET](https://github.com/StanfordVL/taskonomy/tree/master/data) |\n|:-----|:-----|\n| The `taskbank` folder contains information about our pretrained models, and scripts to download them. There are sample outputs, and links to live demos. | The `data` folder contains information and statistics about the dataset, some sample data, and [instructions for how to download the full dataset](https://docs.omnidata.vision/starter_dataset_download.html#Examples). |\n| [![models](taskbank/assets/web_assets/taskbank_tile_GIF_crop.gif)](https://github.com/StanfordVL/taskonomy/tree/master/taskbank) | [![cauthron](data/assets/cauthron_small.png)](https://github.com/StanfordVL/taskonomy/tree/master/data) |\n\n| [Task affinity analyses and results](https://github.com/StanfordVL/taskonomy/tree/master/results)| [Website](http://taskonomy.vision/) |\n|:----|:----|\n| This folder contains the raw and normalized data used for measuring task affinities. | The webpage of the project with links to assets and demos. |\n|[![task affinity analyses and results](data/assets/affinity.jpg)](https://github.com/StanfordVL/taskonomy/tree/master/results) | [![Website front page](data/assets/web_frontpage_small.png)](http://taskonomy.vision/)|\n\n\n \n \n\n\n## Citation\nIf you find the code, models, or data useful, please cite this paper:\n```\n@inproceedings{zamir2018taskonomy,\n  title={Taskonomy: Disentangling Task Transfer Learning},\n  author={Zamir, Amir R and Sax, Alexander and and Shen, William B and Guibas, Leonidas and Malik, Jitendra and Savarese, Silvio},\n  booktitle={2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2018},\n  organization={IEEE}\n}\n```\n\u003c!--- #### See more info about TASK BANK here: https://taskonomy.vision/#models\n#### Try the live demo here: https://taskonomy.vision/tasks\n## More of code, models, and dataset of Taskonomy coming soon. \n(repository under construction) ---\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FStanfordVL%2Ftaskonomy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FStanfordVL%2Ftaskonomy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FStanfordVL%2Ftaskonomy/lists"}