{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/dockerface-an-easy-to-install-and-use-faster","title":"Dockerface: an Easy to Install and Use Faster R-CNN Face Detector in a Docker Container","arxiv_id":"1708.04370","date":"2017-08-15","proceeding":null,"authors":["Nataniel Ruiz","James M. Rehg"],"abstract":"Face detection is a very important task and a necessary pre-processing step\nfor many applications such as facial landmark detection, pose estimation,\nsentiment analysis and face recognition. Not only is face detection an\nimportant pre-processing step in computer vision applications but also in\ncomputational psychology, behavioral imaging and other fields where researchers\nmight not be initiated in computer vision frameworks and state-of-the-art\ndetection applications. A large part of existing research that includes face\ndetection as a pre-processing step uses existing out-of-the-box detectors such\nas the HoG-based dlib and the OpenCV Haar face detector which are no longer\nstate-of-the-art - they are primarily used because of their ease of use and\naccessibility. We introduce Dockerface, a very accurate Faster R-CNN face\ndetector in a Docker container which requires no training and is easy to\ninstall and use.","url_abs":"http://arxiv.org/abs/1708.04370v2","url_pdf":"http://arxiv.org/pdf/1708.04370v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"dockerface-an-easy-to-install-and-use-faster","repo_url":"https://github.com/natanielruiz/dockerface","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"face-detection","task_name":"Face Detection"},{"task_slug":"face-recognition","task_name":"Face Recognition"},{"task_slug":"facial-landmark-detection","task_name":"Facial Landmark Detection"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"}],"methods":[{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"faster-r-cnn","method_name":"Faster R-CNN"},{"method_slug":"rpn","method_name":"RPN"},{"method_slug":"roipool","method_name":"RoIPool"},{"method_slug":"softmax","method_name":"Softmax"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}