{"id":20164116,"url":"https://github.com/pengboxiangshang/deepchange","last_synced_at":"2025-10-14T19:37:20.648Z","repository":{"id":40488433,"uuid":"392680963","full_name":"PengBoXiangShang/deepchange","owner":"PengBoXiangShang","description":"ICCV 2023, project page of the paper \"DeepChange: A Long-term Person Re-identification Benchmark\"","archived":false,"fork":false,"pushed_at":"2025-10-08T12:40:43.000Z","size":3282,"stargazers_count":146,"open_issues_count":1,"forks_count":5,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-14T19:37:16.609Z","etag":null,"topics":["benchmark","clothes-change","database","dataset","long-term-person-re-identification","person-re-id","person-re-identification"],"latest_commit_sha":null,"homepage":"","language":null,"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/PengBoXiangShang.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,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2021-08-04T12:30:48.000Z","updated_at":"2025-10-13T15:04:46.000Z","dependencies_parsed_at":"2024-11-14T00:33:21.410Z","dependency_job_id":"fee6645e-c09e-4bfa-b7ce-82007f24c808","html_url":"https://github.com/PengBoXiangShang/deepchange","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/PengBoXiangShang/deepchange","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PengBoXiangShang%2Fdeepchange","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PengBoXiangShang%2Fdeepchange/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PengBoXiangShang%2Fdeepchange/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PengBoXiangShang%2Fdeepchange/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PengBoXiangShang","download_url":"https://codeload.github.com/PengBoXiangShang/deepchange/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PengBoXiangShang%2Fdeepchange/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279020657,"owners_count":26086898,"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":"2025-10-14T02:00:06.444Z","response_time":60,"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":["benchmark","clothes-change","database","dataset","long-term-person-re-identification","person-re-id","person-re-identification"],"created_at":"2024-11-14T00:33:17.801Z","updated_at":"2025-10-14T19:37:20.643Z","avatar_url":"https://github.com/PengBoXiangShang.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# \u003ccenter\u003eDeepChange:\u003c/center\u003e  A Long-Term Person Re-Identification Benchmark with Clothes Change ICCV 2023\n\n![](https://img.shields.io/badge/language-Python-{green}.svg)\n\n\u003cdiv align=center\u003e\u003cimg src=\"https://github.com/PengBoXiangShang/deepchange/blob/main/figures/deepchange.gif\" width = 80% height = 80% /\u003e\u003c/div\u003e\n\nThis is the official project page of the paper [\"DeepChange: A Long-Term Person Re-Identification Benchmark with Clothes Change\"](https://openaccess.thecvf.com/content/ICCV2023/html/Xu_DeepChange_A_Long-Term_Person_Re-Identification_Benchmark_with_Clothes_Change_ICCV_2023_paper.html) ICCV 2023.\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\nAuthors: [XU Peng](https://scholar.google.com/citations?user=9_v4tC0AAAAJ) and [ZHU Xiatian](https://xiatian-zhu.github.io/)\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\nWe contribute a large, realistic long-term person re-identification benchmark. It consists of **178K** bounding boxes from **1.1K** person identities, collected and constructed over a course of **12 months**. Unique characteristics of this dataset include: (1) Natural/native personal appearance (e.g., clothes and hair style) variations: The clothes-change and dressing styles are highly diverse, with the reappearing gap in time ranging from minutes, hours, and days to weeks, months, seasons, and years. (2) Diverse walks of life: Persons across a wide range of ages and professions appear in different weather conditions (e.g., sunny, cloudy, windy, rainy, snowy, extremely cold) and events (e.g., working, leisure, daily activities). (3) Rich camera setups: The raw videos were recorded by 17 outdoor security cameras with various resolutions operating in a real-world surveillance system for a wide and dense block. (4) Largest scale: It covers the largest number of (**17**) cameras, (**1121**) identities, and (**178407**) bounding boxes, as compared to alternative datasets. \n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\n\n\u003cdiv align=center\u003e\u003cimg src=\"https://github.com/PengBoXiangShang/deepchange/blob/main/figures/p0318.png\"/\u003e\u003c/div\u003e\nFigure A. Images of a random person identity from DeepChange with clothes change, as well as variation in behavior, pose, hair, illumination, weather, background, etc.\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\n\u003cdiv align=center\u003e\u003cimg src=\"https://github.com/PengBoXiangShang/deepchange/blob/main/figures/identities.png\"/\u003e\u003c/div\u003e\nFigure B. Image samples of random identities in DeepChange. Identities from top left to bottom right: an aunt (bbox#1-#19), an office lady (bbox#20-#27), a pupil (bbox#28-#36), a newspaper delivery (bbox#37-#41), an older aunt (bbox#42-#49), a worker (bbox#50-#51), a nun (bbox#52-#53), a Muslim man (bbox#54-#56), a chef (bbox#57-#58), a disabled person (bbox#59-#60), a dustman (bbox#61-#70). \n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\n\u003cdiv align=center\u003e\u003cimg src=\"https://github.com/PengBoXiangShang/deepchange/blob/main/figures/snow-and-rain.png\"/\u003e\u003c/div\u003e\nFigure C. Images collected in snow (top two lines, bbox#1-#20) and rain (bottom line, bbox#21-#30) weather from DeepChange. \n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\n\u003cdiv align=center\u003e\u003cimg src=\"https://github.com/PengBoXiangShang/deepchange/blob/main/figures/hair-style.png\"/\u003e\u003c/div\u003e\nFigure D. Image pairs of the specific persons with simultaneous clothes and hair style changes in the DeepChange. For each identity, only two cases are selected randomly. \n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\n## Terms and conditions to apply\n- This dataset can be **ONLY** used for **non-commercial research purposes**.\n- Users are **NOT allowed** to reproduce, duplicate, copy, sell, trade, resell or exploit any portion of the images and any portion of derived data for any commercial purposes.\n- Users are **NOT allowed** to further publish or distribute any portion of this dataset.\n- Users **MUST** block the faces of any persons from this dataset when using images for any dissemination purposes, e.g., academic papers / slides / posters, presentations, personal websites, personal blogs.\n- **ALL** the rights to terminate the access are reserved.\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\n## Download\nUsers need to download and sign our [**DeepChange Dataset Access Agreement**](https://github.com/PengBoXiangShang/deepchange/blob/main/DeepChangeAccessAgreement.pdf), and send it to XU Peng (peng.xu [AT] aliyun dOt com) with a title \"DeepChange Dataset Access Agreement\". We will verify the requests and contact users with the downloading **links** and other associate **documents**. Users should use your **institutional email address** to contact us. We will reply within 24 hours, and the download link is also valid for 24 hours, so after sending this request, please watch your email.\n\u003cbr/\u003e\n请大家用学校的邮箱发送申请表格。请勿使用163或qq等邮箱发送申请。请字迹工整地且完整地填写申请表格，可直接填写中文，Email 2里请填写一个可以永久联系的私人邮箱。我们通常会在24小时内回复，授权后下载链接有效期是24小时，所以发送申请后，请关注您的邮箱并及时下载。\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\n## Software tools\nWe will release some codes and tools for this dataset very soon.\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\n## Citations\nIf you would like to use this dataset, please cite the following papers:\n```\n@inproceedings{xu2023deepchange,\n  title={Deepchange: A long-term person re-identification benchmark with clothes change},\n  author={Xu, Peng and Zhu, Xiatian},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  pages={11196--11205},\n  year={2023}\n}\n```\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\u003cbr/\u003e\n\n## Contact\nPlease email [XU Peng](http://www.pengxu.net/) for any questions.  \nEmail: **peng.xu [AT] aliyun dOt com**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpengboxiangshang%2Fdeepchange","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpengboxiangshang%2Fdeepchange","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpengboxiangshang%2Fdeepchange/lists"}