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What is PimEyes?

PimEyes functions as a powerful online face search engine, enabling users to locate images across the web that feature specific faces. Utilizing advanced face recognition technology, it allows for reverse image searches, making it easy to find where an image appears online. This innovative tool prioritizes user privacy while providing a means to search by image through facial recognition capabilities. Accessible to everyone, PimEyes serves not just as a face and photo search engine, but also as an effective resource for identifying copyright violations. We advocate for your right to explore the Internet for your own benefit and emphasize the importance of safeguarding your privacy. By leveraging cutting-edge technologies, including artificial intelligence and machine learning, PimEyes aids in the discovery of your photos online. Additionally, it serves as a protective shield against identity theft, fraud, and unauthorized use of your likeness. With its diverse functionalities, PimEyes empowers users to track their digital presence, reclaim image rights, and maintain oversight of their visual identity across the Internet. This comprehensive approach ensures that individuals can confidently navigate the complexities of online image use.

What is Azure Face API?

Incorporate facial recognition technology into your applications to create a user-friendly and secure interface without requiring deep expertise in machine learning. This innovative solution offers capabilities such as face detection, which recognizes faces and their features in images, and individual identification from a personal database accommodating up to one million users. It also includes emotion recognition to interpret various facial expressions like happiness, anger, and fear, and the capacity to identify and group similar faces. You can perform face identification based on diverse traits and seamlessly implement facial recognition with just a single API request, whether utilizing cloud services or local containers. Emphasizing enterprise-grade security and privacy protocols, this technology enables the detection, identification, and analysis of faces in both images and videos, opening doors to a variety of groundbreaking applications. Furthermore, it allows for the simultaneous detection of multiple human faces and their respective attributes, significantly enhancing the user experience and broadening the scope of potential uses. With these advanced features, developers can create more interactive and responsive applications tailored to user needs.

Media

Media

Integrations Supported

Azure Marketplace
Orange Logic OrangeDAM

Integrations Supported

Azure Marketplace
Orange Logic OrangeDAM

API Availability

Has API

API Availability

Has API

Pricing Information

$29.99 per month
Free Trial Offered?
Free Version

Pricing Information

$0.01 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PimEyes

Date Founded

2017

Company Website

pimeyes.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/cognitive-services/face/#features

Categories and Features

Visual Search

Barcode Recognition
Catalog Management
Customer Activity Tracking
Filtering
IP Protection
Image Tagging
Mobile App
Optical Character Recognition
Product Recommendations
Product Search
Reverse Image Search
Video Search

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

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