Best AI tools for< Face Recognition >

Mxface is a leading face recognition API technology that offers advanced computer vision and AI APIs for developers. The platform provides services like face detection, face comparing, face landmarks, face attributes, face search, iris recognition, fingerprint recognition, and people detection. Mxface ensures data security, real-time face recognition, precision, easy face enrollment, and device integration. It is a cloud-based facial recognition solution that supports various use cases and offers comprehensive security features.

FaceConnect is a Face Recognition Person and Access Control Management System developed by Innovation Plus Co., Ltd. It offers a centralized system for managing personnel data and controlling access using facial recognition technology. The system enhances workplace security and convenience by eliminating the need for physical ID cards. FaceConnect is designed to streamline time and attendance management in organizations through AI technology, providing efficient and secure access control solutions. The application is popular for its advanced features and high efficiency in face recognition technology.

PimEyes is an online face search engine that uses face recognition technology to find pictures containing given faces. It is a great tool to audit copyright infringement, protect your privacy, and find people.

FaceCheck.ID is a facial recognition AI technology-powered search engine that allows users to upload a photo of a person to discover their social media profiles, appearances in blogs, videos, news websites, and more. It helps users verify the authenticity of individuals, avoid dangerous criminals, keep their families safe, and avoid becoming victims of various scams and crimes. The tool is designed to assist in identifying and uncovering information about individuals based on their facial features, with a focus on safety and security.

Recognito is a leading facial recognition technology provider, offering the NIST FRVT Top 1 Face Recognition Algorithm. Their high-performance biometric technology is used by police forces and security services to enhance public safety, manage individual movements, and improve audience analytics for businesses. Recognito's software goes beyond object detection to provide detailed user role descriptions and develop user flows. The application enables rapid face and body attribute recognition, video analytics, and artificial intelligence analysis. With a focus on security, living, and business improvements, Recognito helps create safer and more prosperous cities.

SocialFinder.ai is an AI-powered tool that enables users to find anyone online with a single photo. The tool uses cutting-edge AI technology to scan the web, locate social media profiles, determine image geolocation, and verify the identity of individuals. It helps users quickly and effectively find someone's digital footprint, making it a valuable resource for various fields, including investigations, background checks, and event planning.

Shufti Pro is an award-winning global identity verification platform that provides businesses with a suite of tools to verify the identities of their customers. The platform uses artificial intelligence (AI) to automate the identity verification process, making it faster, more accurate, and more secure. Shufti Pro's solutions are used by businesses in a variety of industries, including banking, fintech, crypto, forex, gaming, insurance, education, healthcare, e-commerce, and travel.

PhotoPrism is an AI-Powered Photos App for the Decentralized Web that utilizes cutting-edge technologies to automatically tag and find pictures. It allows users to organize and access their photos effortlessly, without compromising privacy. The application offers features like browsing all photos and videos, powerful search filters, world maps for trip memories, live photo playback, facial recognition, and automatic picture classification based on content and location. PhotoPrism is self-funded and independent, ensuring data privacy and transparency. Users can run the app on a private server, in the cloud, or at home.

Lenso.ai is an AI-powered reverse image search tool that allows users to explore billions of images from the web with advanced AI technology. It offers a more accurate and efficient process of reverse image search compared to traditional methods. Users can search for places, people, duplicates, and related images effortlessly. The tool is designed to cater to diverse needs, from professional photographers to marketers and enthusiasts, providing a faster, easier, and more accurate image search experience.

Fotogram.ai is an AI-powered image editing tool that offers a wide range of features to enhance and transform your photos. With Fotogram.ai, users can easily apply filters, adjust colors, remove backgrounds, add effects, and retouch images with just a few clicks. The tool uses advanced AI algorithms to provide professional-level editing capabilities to users of all skill levels. Whether you are a photographer looking to streamline your workflow or a social media enthusiast wanting to create stunning visuals, Fotogram.ai has you covered.

InsightFace is an open-source deep face analysis library that provides a rich variety of state-of-the-art algorithms for face recognition, detection, and alignment. It is designed to be efficient for both training and deployment, making it suitable for research institutions and industrial organizations. InsightFace has achieved top rankings in various challenges and competitions, including the ECCV 2022 WCPA Challenge, NIST-FRVT 1:1 VISA, and WIDER Face Detection Challenge 2019.

StarByFace is a celebrity look-alike face recognition application that allows users to upload a photo and find their celebrity doppelganger. The app uses a Neural Network to compare the uploaded photo with a database of celebrity faces and suggests the most similar matches. It ensures privacy by not storing uploaded photos and collecting minimal personal information for website usage data only.

Face Swap AI is an AI application that allows users to create captivating face swapping videos instantly and completely anonymously. The tool uses advanced algorithms for face recognition, feature matching, and smooth blending to swap faces in videos. Users can swap faces with any person they want, protect their identity, and even become influencers without showing their real face. Face Swap AI offers different pricing plans with features like private generations, YouTube video upload, 4K/HD video export, tutorials, commercial license, and unlimited support tickets.

Rank One Computing (ROC) is an American-made provider of multimodal biometrics and computer vision solutions, specializing in face recognition, fingerprint recognition, and artificial intelligence technologies. Trusted by the U.S. military, law enforcement, and leading FinTech brands, ROC offers top-ranked software for identity proofing and threat detection. Their suite of products includes ROC SDK, ROC Watch, and custom enterprise AI development services. With a focus on security and efficiency, ROC aims to make the world safer and more convenient through unbiased and privacy-conscious applications.

FacePlugin is an ID verification and Biometric Authentication solution provider that utilizes advanced face recognition, face liveness detection, and ID document recognition technologies. The platform offers solutions for eKYC and ID verification needs, with features such as instant face recognition, enhanced face anti-spoofing technology, and robust identity document verification. FacePlugin aims to secure and streamline the authentication process for various industries and use cases, providing proprietary solutions, top-notch quality, and competitive pricing.

MiniAiLive is a provider of Touchless Biometrics Authentication and ID verification solutions. They offer strong security solutions with cutting-edge technologies for facial recognition, liveness detection, and ID document recognition. MiniAiLive ensures seamless integration with clients' existing systems. The application caters to various industries and provides solutions for identity verification, biometric authentication, and fraud prevention. MiniAiLive stands out for its global coverage, configurability, speed, and accuracy in identity verification services.

Video Face Swap is a free online AI tool that allows users to effortlessly swap faces in videos using cutting-edge artificial intelligence algorithms. Users can upload a video with a face and a photo with a target face to start the face swap process. The tool supports multiple face swaps, GIF face swaps, and batch face swaps, enabling users to create entertaining and creative content. With features like fast and accurate face swapping, enhanced creativity, 100% free service, support for various formats, and user-friendly interface, Video Face Swap provides a secure and private platform for users to experiment with face swapping in videos.

KBY-AI is an advanced Identity Verification SDK provider offering powerful solutions for Face Recognition, Face Liveness Detection, and ID Card Recognition. Their cutting-edge AI technology ensures foolproof protection without disrupting the user's flow. The SDKs are designed to be lightweight, highly effective, and ideal for commercial applications like KYC automation, time and attendance systems, and video surveillance. KBY-AI's solutions support various ID documents from 200+ countries and are compatible with Android, iOS, and web platforms.

Sighthound is an AI-powered video solutions provider that specializes in solving complex video AI problems at scale. Their products, such as Sighthound ALPR+ for Automatic License Plate Recognition and Sighthound Redactor for Video Redaction, leverage deep learning technology to unlock valuable user insights, reduce operational costs, and increase revenue in the privacy and vehicle recognition space. With a focus on simplicity and customer support, Sighthound offers easy integration of their AI products through simple-to-use APIs.

api4ai is a cloud-native AI application that offers image processing APIs powered by artificial intelligence. It provides affordable and personalized solutions for businesses, empowering them with computer vision and machine learning capabilities. The application allows users to monitor visitor statistics, expand product identification apps, integrate background removal algorithms, estimate marketing campaign effectiveness, automate production processes, manage clothing stocktaking, enhance car dealership ads, ensure workplace safety, and extract information for enterprises, startups, and developers. With a wide range of ready-to-use APIs and customization options, api4ai simplifies the implementation of AI solutions across various industries.

The MiniAiLive Face Recognition LivenessDetection Server SDK provides system integrators with fast, flexible, and extremely precise facial recognition that can be deployed across various scenarios, including security, access control, public safety, fintech, smart retail, and home protection. The SDK is fully on-premise, meaning all processing happens on the hosting server, and no data leaves the server. The project structure includes bin, cpp, flask, model, python, test_image, and Dockerfile directories. To set up the project on Linux, download the repo, install system dependencies, and copy libraries into the system folder. For Windows, contact MiniAiLive via email. The C++ example involves replacing the license key in main.cpp, building the project, and running it. The Python example requires installing dependencies and running the project. The Python Flask example involves replacing the license key in app.py, installing dependencies, and running the project. The Docker Flask example includes building the docker image and running it. To request a license, contact MiniAiLive. Contributions to the project are welcome by following specific steps. An online demo is available at https://demo.miniai.live. Related products include MiniAI-Face-Recognition-LivenessDetection-AndroidSDK, MiniAI-Face-Recognition-LivenessDetection-iOS-SDK, MiniAI-Face-LivenessDetection-AndroidSDK, MiniAI-Face-LivenessDetection-iOS-SDK, MiniAI-Face-Matching-AndroidSDK, and MiniAI-Face-Matching-iOS-SDK. MiniAiLive is a leading AI solutions company specializing in computer vision and machine learning technologies.

This repository contains a C++ application that demonstrates face recognition capabilities using computer vision techniques. The demo utilizes OpenCV and dlib libraries for efficient face detection and recognition with 3D passive face liveness detection (face anti-spoofing). Key Features: Face detection: The SDK utilizes advanced computer vision techniques to detect faces in images or video frames, enabling a wide range of applications. Face recognition: It can recognize known faces by comparing them with a pre-defined database of individuals. Age estimation: It can estimate the age of detected faces. Gender detection: It can determine the gender of detected faces. Liveness detection: It can detect whether a face is from a live person or a static image.

MiniAiLive provides system integrators with fast, flexible and extremely precise facial recognition with 3D passive face liveness detection (face anti-spoofing) that can be deployed across a number of scenarios, including security, access control, public safety, fintech, smart retail and home protection.

FaceAPI is an AI-powered tool for face detection, rotation tracking, face description, recognition, age, gender, and emotion prediction. It can be used in both browser and NodeJS environments using TensorFlow/JS. The tool provides live demos for processing images and webcam feeds, along with NodeJS examples for various tasks such as face similarity comparison and multiprocessing. FaceAPI offers different pre-built versions for client-side browser execution and server-side NodeJS execution, with or without TFJS pre-bundled. It is compatible with TFJS 2.0+ and TFJS 3.0+.

AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition, Body Segmentation

The MiniAiLive Face Liveness Detection Android SDK provides advanced computer vision techniques to enhance security and accuracy on Android platforms. It offers 3D Passive Face Liveness Detection capabilities, ensuring that users are physically present and not using spoofing methods to access applications or services. The SDK is fully on-premise, with all processing happening on the hosting server, ensuring data privacy and security.

Recognize is a smart media tagging tool for Nextcloud that automatically categorizes photos and music by recognizing faces, animals, landscapes, food, vehicles, buildings, landmarks, monuments, music genres, and human actions in videos. It uses pre-trained models for object detection, landmark recognition, face comparison, music genre classification, and video classification. The tool ensures privacy by processing images locally without sending data to cloud providers. However, it cannot process end-to-end encrypted files. Recognize is rated positively for ethical AI practices in terms of open-source software, freely available models, and training data transparency, except for music genre recognition due to limited access to training data.

DeepSparkHub is a repository that curates hundreds of application algorithms and models covering various fields in AI and general computing. It supports mainstream intelligent computing scenarios in markets such as smart cities, digital individuals, healthcare, education, communication, energy, and more. The repository provides a wide range of models for tasks such as computer vision, face detection, face recognition, instance segmentation, image generation, knowledge distillation, network pruning, object detection, 3D object detection, OCR, pose estimation, self-supervised learning, semantic segmentation, super resolution, tracking, traffic forecast, GNN, HPC, methodology, multimodal, NLP, recommendation, reinforcement learning, speech recognition, speech synthesis, and 3D reconstruction.

Viseron is a self-hosted, local-only NVR and AI computer vision software that provides features such as object detection, motion detection, and face recognition. It allows users to monitor their home, office, or any other place they want to keep an eye on. Getting started with Viseron is easy by spinning up a Docker container and editing the configuration file using the built-in web interface. The software's functionality is enabled by components, which can be explored using the Component Explorer. Contributors are welcome to help with implementing open feature requests, improving documentation, and answering questions in issues or discussions. Users can also sponsor Viseron or make a one-time donation.

This repository is a curated list of awesome public object detection and recognition datasets. It includes a wide range of datasets related to object detection and recognition tasks, such as general detection and recognition datasets, autonomous driving datasets, adverse weather datasets, person detection datasets, anti-UAV datasets, optical aerial imagery datasets, low-light image datasets, infrared image datasets, SAR image datasets, multispectral image datasets, 3D object detection datasets, vehicle-to-everything field datasets, super-resolution field datasets, and face detection and recognition datasets. The repository also provides information on tools for data annotation, data augmentation, and data management related to object detection tasks.

Hailo TAPPAS is a set of full application examples that implement pipeline elements and pre-trained AI tasks. It demonstrates Hailo's system integration scenarios on predefined systems, aiming to accelerate time to market, simplify integration with Hailo's runtime SW stack, and provide a starting point for customers to fine-tune their applications. The tool supports both Hailo-15 and Hailo-8, offering various example applications optimized for different common hosts. TAPPAS includes pipelines for single network, two network, and multi-stream processing, as well as high-resolution processing via tiling. It also provides example use case pipelines like License Plate Recognition and Multi-Person Multi-Camera Tracking. The tool is regularly updated with new features, bug fixes, and platform support.

The collection of pre-trained, state-of-the-art AI models. ailia SDK is a self-contained, cross-platform, high-speed inference SDK for AI. The ailia SDK provides a consistent C++ API across Windows, Mac, Linux, iOS, Android, Jetson, and Raspberry Pi platforms. It also supports Unity (C#), Python, Rust, Flutter(Dart) and JNI for efficient AI implementation. The ailia SDK makes extensive use of the GPU through Vulkan and Metal to enable accelerated computing. # Supported models 323 models as of April 8th, 2024

This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.

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SmolChat-Android is a mobile application that enables users to interact with local small language models (SLMs) on-device. Users can add/remove SLMs, modify system prompts and inference parameters, create downstream tasks, and generate responses. The app uses llama.cpp for model execution, ObjectBox for database storage, and Markwon for markdown rendering. It provides a simple, extensible codebase for on-device machine learning projects.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

Awesome OpenVINO is a curated list of AI projects based on the OpenVINO toolkit, offering a rich assortment of projects, libraries, and tutorials covering various topics like model optimization, deployment, and real-world applications across industries. It serves as a valuable resource continuously updated to maximize the potential of OpenVINO in projects, featuring projects like Stable Diffusion web UI, Visioncom, FastSD CPU, OpenVINO AI Plugins for GIMP, and more.

Expert in the precise and detailed creation of identikits.

Specialist in detailed images and facial features

Moved to https://chat.openai.com/g/g-q6GNcOkYx-face-reader. Reads faces to tell fortunes based on Chinese face reading. Turned off setting to use data for OpenAi to improve model.

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Evaluates faces and rates them out of 10 ⭐ Provides valuable feedback to improving your attractiveness!

I analyze facial features to provide physiognomy-based insights.

Creates visually appealing resumes in multiple languages.

Enhances human faces in photos for a more beautiful look.

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Expert in Hugging Face platform tools and resources

Creates caricatures from face photos.

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Expert at fetching repository information from GitHub, Hugging Face. and you local repositories

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Welcome to the world of the Angry Robot! You'll face an irate robot that you must appease. Can you successfully complete all 9 levels ?

Restore old pictures, restore old photos, restore face photos, and enhance the quality of any picture.

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Expert in homemade cosmetics for beginners. 🌿Natural Beauty Secrets