使用OpenFace的公司
OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google.
使用OpenFace的公司列表
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"openface\"
]
}"Technology
is any of
OpenFace
员工数23k收入$675MResearch ServicesOpenFace中置信度
员工数3.8k收入$1.4MResearch ServicesOpenFace中置信度
员工数11kHospitals and Health CareOpenFace中置信度
员工数7.7kResearch ServicesOpenFace中置信度
员工数1.3kHospitals and Health CareOpenFace中置信度
员工数23Hospitals and Health CareOpenFace中置信度
员工数4.5k收入$5.6MEducationOpenFace中置信度
员工数2kInsuranceOpenFace中置信度
我们拥有关于18家公司和用户使用OpenFace的数据。我们的OpenFace用户和客户列表可供下载，并附有重要的公司信息，包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
技术使用统计和市场份额
如何定位 OpenFace 用户
- 如何自定义此列表？
您可以根据地理位置、行业、公司规模、收入、技术使用、职位发布等需求自定义此数据。您可以将数据下载为Excel或CSV格式。
- 如何在公司采用此技术时收到通知？
您可以为此数据设置提醒。您可以通过选择您感兴趣的技术开始，当有新公司使用该技术时，您将收到收件箱中的提醒。
- 如何将此数据导入我的CRM？
您可以将此数据导出为Excel文件，然后导入到您的CRM中。您也可以将数据导出到API。
常见问题
我们的数据来源于从数百万家公司收集的职位发布。我们监控公司网站、招聘网站和其他招聘平台上的这些发布。分析职位发布提供了一种可靠的方法来了解公司正在使用的技术，包括他们使用的内部工具。
我们每天刷新数据，以确保您访问的是最新的信息。这一频繁的更新过程保证了我们的洞察和情报反映行业的最新发展和趋势。
OpenFace is a pioneering technology in the field of Facial Recognition, offering advanced solutions for identifying and analyzing human faces through computer vision algorithms. Developed as an open-source platform, OpenFace enables robust and accurate facial recognition capabilities, allowing for a wide range of applications across various industries. Its sophisticated technology has gained significant traction for its ability to extract facial features, recognize patterns, and facilitate facial authentication processes with high precision.
Facial Recognition technology, to which OpenFace belongs, falls under the category of biometric security systems. This category focuses on utilizing unique physiological characteristics, such as facial features, for authentication and identification purposes. By leveraging biometric data, Facial Recognition systems like OpenFace ensure heightened security protocols and seamless user verification processes. These systems find applications in security access control, surveillance monitoring, and personalized user experiences in devices and applications.
OpenFace was founded in 2015 by researchers at the Carnegie Mellon University with the goal of developing accessible and advanced Facial Recognition technology. Motivated by the potential for enhancing security measures and improving user experiences, the creators sought to democratize facial recognition technology through an open-source platform, making it available for developers, researchers, and businesses alike. Since its inception, OpenFace has garnered a significant following in the tech community and has been adopted by various organizations for diverse use cases.
In terms of current market share, OpenFace has established itself as a prominent player in the Facial Recognition technology landscape. With its versatile features and robust performance, OpenFace has captured a solid share of the market, especially among developers and researchers seeking reliable facial recognition solutions. The increasing demand for biometric security systems and the rising emphasis on user authentication are expected to drive the growth of OpenFace's market share in the foreseeable future. As organizations across industries continue to prioritize security and user verification, OpenFace is well-positioned to expand its market presence and solidify its position as a frontrunner in the Facial Recognition technology domain.