{"id":24963766,"url":"https://github.com/alexzajac/faqe","last_synced_at":"2026-04-08T22:31:19.055Z","repository":{"id":98625788,"uuid":"203025736","full_name":"alexZajac/faqe","owner":"alexZajac","description":"Face recognition client built with React JS","archived":false,"fork":false,"pushed_at":"2026-03-29T06:38:09.000Z","size":25098,"stargazers_count":1,"open_issues_count":8,"forks_count":1,"subscribers_count":0,"default_branch":"master","last_synced_at":"2026-03-29T09:21:05.323Z","etag":null,"topics":["face-recognition","oneshotlearning","react","resnet-34"],"latest_commit_sha":null,"homepage":"https://alexzajac.github.io/faqe","language":"JavaScript","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/alexZajac.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}},"created_at":"2019-08-18T15:50:42.000Z","updated_at":"2026-03-29T06:35:53.000Z","dependencies_parsed_at":"2025-03-28T23:43:10.746Z","dependency_job_id":"edb5ea43-cf44-45fd-a0aa-348bd1e78e19","html_url":"https://github.com/alexZajac/faqe","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/alexZajac/faqe","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alexZajac%2Ffaqe","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alexZajac%2Ffaqe/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alexZajac%2Ffaqe/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alexZajac%2Ffaqe/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/alexZajac","download_url":"https://codeload.github.com/alexZajac/faqe/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alexZajac%2Ffaqe/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31577444,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-08T14:31:17.711Z","status":"ssl_error","status_checked_at":"2026-04-08T14:31:17.202Z","response_time":54,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["face-recognition","oneshotlearning","react","resnet-34"],"created_at":"2025-02-03T09:58:17.631Z","updated_at":"2026-04-08T22:31:19.030Z","avatar_url":"https://github.com/alexZajac.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Faqe app \n\n![](https://raw.githubusercontent.com/alexZajac/faqe/master/public/demo.gif)\n\n## Description\nFaqe is a face recognition client, built with [React](https://reactjs.org/). To try the application, the first step is to take a reference image of your face on the reference Tab. Then head up to the Recogntion Tab to perform recognition. You can set a recogntion threshold, which will figure how strict should the system be.\n\n## Credits\nStatus icons on the Recogntion Tab provided by [Vitaly Gorbachev](https://www.flaticon.com/authors/vitaly-gorbachev) on [Flaticon](https://www.flaticon.com). Icons used for Tabs are from [Good Ware](https://www.flaticon.com/authors/good-ware), [Chris Veigt](https://www.flaticon.com/authors/chris-veigt) and [Freepik](https://www.flaticon.com/authors/freepik) also from Flaticon.\n- For face detection, this project implements a SSD (Single Shot Multibox Detector) based on MobileNetV1, trained on the [WIDERFACE dataset](http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/) and the weights are provided by [yeephycho](https://github.com/yeephycho) in [this](https://github.com/yeephycho/tensorflow-face-detection) repo. This API and the next are both provided by [this project](https://github.com/justadudewhohacks/face-api.js).\n- For face recognition, a [ResNet-34](https://neurohive.io/en/popular-networks/resnet/) like architecture is implemented to compute a face descriptor (a feature vector with 128 values) from any given face image, which is used to describe the characteristics of a persons face. The weights have been trained by [davisking](https://github.com/davisking) and the model achieves a prediction accuracy of 99.38% on the [LFW](http://vis-www.cs.umass.edu/lfw/) (Labeled Faces in the Wild) benchmark for face recognition.\n\n## Privacy\nFaqe is a client software, and was only created for an educational purposes. The reference image taken by the app is not being sent to a server or to a database for processing or other uses, and only a 128-dimensionnal space [embedding](https://en.wikipedia.org/wiki/Embedding) (representation) of your face is stored on your local machine for face recognition. The face recognition systems works the same way, all on your computer, and make sure to [contact me](https://en.wikipedia.org/wiki/Embedding) if there are any questions on the app.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falexzajac%2Ffaqe","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falexzajac%2Ffaqe","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falexzajac%2Ffaqe/lists"}