Face++
API for face detection – also detects gender, age, pose
Face++ launched on November 4, 2014 with 253 votes, #36 of 1,965 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 11 years on.
In plain words
Face++ is a facial recognition API platform that detects faces in images and identifies attributes like gender, age, and pose. It enables developers to build identity verification, liveness detection, facial search, and body analysis applications through cloud APIs and on-device SDKs. The platform returns high-precision results with confidence scores and supports face comparison to determine if two faces belong to the same person, making it suitable for industries requiring secure identity verification and computer vision capabilities.
written from the facts on this page · September 2026
From the sources
Build identity verification, facial recognition, liveness detection, body analysis, and OCR applications with Face⁺⁺ APIs and on-device SDKs.
Secure, Scalable Face Recognition Solutions for Every Industry. Compare two faces to determine if they belong to the same person, commonly used for identity verification. Search for faces similar to a target face within a given collection. Face⁺⁺ provides fast and accurate results, returning a set of similar faces along with confidence scores and thresholds to evaluate similarity. Detects and locates human faces within an image, returning high-precision bounding boxes. Face⁺⁺ also allows you to store metadata for each detected face for future use. Detect whether a face is "live" rather than a photo, video, or mask, to prevent spoofing attacks. Built on advanced face recognition and vision…from faceplusplus.com
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DeepFace – A lightweight deep face recognition library for Python2025 · github.com · ▲257DeepFace is a leading open-source library for facial recognition and facial attribute analysis, and the de facto standard in Python. It wraps multiple state-of-the-art models that have reached — and even surpassed — human-level accuracy in recognizing faces. By the numbers (as of early 2025): 15,000+ stars on GitHub; ~4 million installations via pip; 800+ citations in academic papers Whether you're building a cutting-edge AI project or simply exploring facial recognition, DeepFace makes advanced capabilities accessible with just a few lines of code.
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