Face Dataset, All images obtained from Flickr (Yahoo's dataset) and licensed Face Data of 31 different classes. The CFD is intended for use in scientific This dataset is great for training and testing models for face detection, particularly for recognising facial attributes such as finding people with brown hair, are Top Face Datasets Face detection can help with numerous tasks. I'm happy to share it with the Hacker Noon community! This dataset encompasses facial images featuring individuals of similar size but varying in position, skin colour, nationality, age groups, and expressions. A clean version DigiFace-1M is a large-scale dataset of photo-realistic digital faces rendered from high-quality head scans. The accumulation of CO2 in the atmosphere contributes to the greenhouse effect, Face recognition models: This article focuses on the comprehensive examination of existing face recognition models, toolkits, datasets and FR Face recognition models: This article focuses on the comprehensive examination of existing face recognition models, toolkits, datasets and FR We’re on a journey to advance and democratize artificial intelligence through open source and open science. The zip contains two folders: Real Face analysis mainly based on Caffe. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced Our dataset consists of high quality recordings of the faces of 13 identities, each captured in a multi-view capture stage performing various facial expressions. CelebAMask-HQ is a large-scale face image dataset that has 30,000 high-resolution face images selected from the CelebA dataset by following CelebA This large-scale face image dataset features 10,109 individuals from various countries and ethnic backgrounds. At this time, face analysis tasks like detection, alignment and recognition have been done. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Contribute to jian667/face-dataset development by creating an account on GitHub. GitHub is where people build software. Dataset Description This dataset contains district-wise statistics from the National Family Health Survey – Round 5 (NFHS-5), conducted between 2019–21 across . It includes well FACES is a set of images of naturalistic faces of 171 young (n = 58), middle-aged (n = 56), and older (n = 57) women and men displaying each of six facial expressions: neutrality, sadness, disgust, fear, We’re on a journey to advance and democratize artificial intelligence through open source and open science. The dataset consists of over 20,000 face We’re on a journey to advance and democratize artificial intelligence through open source and open science. About Dataset Facial Emotion Recognition Faces Dataset The dataset consists of images capturing people displaying 7 distinct emotions (anger, contempt, Browse and download hundreds of thousands of open datasets for AI research, model training, and analysis. Examples include recognizing individual identities, analyzing facial expressions, and detecting facial features. The images include faces of UTKFace is a dataset of over 20,000 face images collected from the Internet, with annotations of age, gender, and ethnicity. Each subject has been FACEMETA - Hominological Face Dataset With Image Metadata FACEMETA is the largest commercially available dataset of facial images with detailed metadata. Contribute to ofirkris/Faces-datasets development by creating an account on GitHub. Volleyball data is difficult enough as it is to come by -- looking to create a more open CelebFaces Attributes Dataset (CelebA) is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations. Face Synthetics dataset is a collection of diverse synthetic face images with ground truth labels. DigiFace-1M is a large-scale dataset of photo-realistic digital faces rendered from high-quality head scans. FaceScape provides large-scale high-quality 3D face datasets, parametric models, docs and toolkits about 3D face related technology. Contribute to bchao1/Anime-Face-Dataset development by creating an account on GitHub. Dataset contains images annotating facial landmarks of people of different races Details CelebFaces Attributes Dataset (CelebA) is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute CelebFaces Attributes Dataset (CelebA) is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations. The AT&T face dataset, “ (formerly ‘The ORL Database of Faces’), contains a set of face images taken between April 1992 and April 1994 at the lab. The dataset consists of over 20,000 face images with Face recognition and detection FaceTracer large database with variety of metadata and fiducial points marked and descriptive attributes Flickr Diverse Faces Dataset Ethnically diverse face recognition VGGFace2 Dataset for Face Recognition (website) The dataset contains 3. All the images have been scraped About Face Detection Model Background Information This dataset was curated and annotated by Mohamed Traore and Justin Brady after forking the raw images 🖼 A collection of high-quality anime faces. Contribute to NVlabs/ffhq-dataset development by creating an account on GitHub. Collection of 5. It was introduced in our paper Fake It Till You Make It: Face analysis in the wild using synthetic data alone. It aims to overcome the ethical, labeling and bias issues of real face datasets, and outperforms existing methods trained on synthetic faces. In this paper we propose a deep learning solution to age estimation from a single face image without the use of facial landmarks and introduce the IMDB-WIKI dataset, the largest public dataset of face Face Detection Datasets The first (of many more) face detection datasets of human faces especially created for face detection (finding) instead of recognition: BioID Discover datasets around the world! By using the UCI Machine Learning Repository, you acknowledge and accept the cookies and privacy practices used by the UCI Machine Learning MAADFace is build on the VGGFace2 database and thus, consists of 3. portrait images, groups of people, etc. The Sourced from plusliga. 6 images for About Dataset Context Labeled Faces in the Wild (LFW) is a database of face photographs designed for studying the problem of unconstrained face recognition. It was created by the University of Massachusetts, Amherst and is Explore datasets powering machine learning. The database About Dataset Content This dataset contains current estimates (live population clock), historical data, and projected figures of world countries and dependent Face related datasets. The DigiFace-1M dataset is a collection of over one million diverse synthetic face images for face recognition. For each image, face detection and estimated 5 keypoints are provided. Multi-view face recognition, face cropping and saving the cropped faces as new images on videos to create a multi-view face recognition Discover the top 10 face datasets for facial recognition projects. Using a novel annotation transfer-pipeline that allows an Image datasets contain digital images specifically designed to help train, test, and evaluate computer vision algorithms. 3M faces of over 9k individuals. UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old). It aims to overcome the ethical, labeling and bias WIDER FACE dataset is a face detection benchmark dataset, of which images are selected from the publicly available WIDER dataset. The MS-Celeb-1M dataset is a large-scale face recognition dataset with 1 million images of 100,000 celebrities. What Are Face Datasets? An image dataset contains specially selected digital images intended to help train, test, and evaluate an Explore datasets powering machine learning. 人脸数据集（datasets of face）. We This dataset is widely used for face verification and recognition algorithms. pl and tauronliga. The dataset contains about 1. Profile faces or very low-resolution faces are not labeled. This dataset consists of a small collection of real-time human face images and google source based human facial images captured in diverse environments and under varying We’re on a journey to advance and democratize artificial intelligence through open source and open science. 4k images sorted into Male and Female faces About Dataset CO2 emissions have significant environmental impacts. Faces in the proposed dataset are extremely challenging due to large variations in scale, Caltech 10k Web Faces Description The dataset contains images of people collected from the web by typing common given names into Google Image Search. Each image’s filename serves as its label, formatted as “Number” A good starting point for anyone exploring face recognition training data is this curated list of free facial recognition datasets. About Dataset The dataset contains around 9. Ma, Joshua Correll, and Bernd Wittenbrink. The dataset aims to provide a comprehensive resource for research in facial recognition, computer vision, and machine learning applications. FACES is a set of images of naturalistic faces of 171 young (n = 58), middle-aged (n = 56), and older (n = 57) women and men displaying each of six facial expressions: neutrality, sadness, disgust, fear, How would you describe this dataset? Well-documented 0 Well-maintained 0 Clean data 0 Original 0 High-quality notebooks 0 Other text_snippet We provide loosely-cropped faces for each identity, and meta information for each identity and each face image in the dataset. Join a community of millions of researchers, developers, and builders to share and WIDER FACE dataset is a face detection benchmark dataset, of which images are selected from the publicly available WIDER dataset. It was created by "bringing to life" and In this work, we introduce the AI-Face dataset, the first million-scale de-mographically annotated AI-generated face image dataset, including real faces, faces from deepfake videos, and faces generated IA company Lionbridge compiled a list of the best free image datasets for face recognition which total over 5,000,000 face images and video About the Database The UEA 3D Faces Database is created by the Person and Space Perception lab at the Department of Psychology, University of East Anglia (UEA), with support from a Royal Society Dataset contains several important columns for data analysis Report Date, Offense Start Data (time), Offense End Date (time). 25, which corresponds to an accuracy of about half the width of In this work, we introduce the AI-Face dataset, the first million-scale demographically annotated AI-generated face image dataset, including real faces, faces from deepfake videos, and IMDb-Face is a new large-scale noise-controlled dataset for face recognition research. T H E D A T A B A S E The Chicago Face Database was developed at the University of Chicago by Debbie S. Start your journey in AI with our comprehensive guide today! Mega list of face related datasets. Explore iMerit’s curated list of 17 facial recognition datasets, ranging from annotated video frames and age-labeled faces to spoof detection sets and more. The coordinates of the eyes, the nose and We’re on a journey to advance and democratize artificial intelligence through open source and open science. Face datasets are a Discover what actually works in AI. Location types, Latitude Longitude How would you describe this dataset? Well-documented 0 Well-maintained 0 Clean data 0 Original 0 High-quality notebooks 0 Other text_snippet The FEI face database is a Brazilian face database that contains a set of face images taken between June 2005 and March 2006 at the Artificial Intelligence Caltech 10k Web Faces Description The dataset contains images of people collected from the web by typing common given names into Google Image Dataset of around 800k images consisting of 1100 Famous Celebrities and an Unknown class to classify unknown faces. Face recognition research community has prepared several large-scale datasets captured in uncontrolled scenarios for performing face recognition. pl and their statistics database. Contribute to FaceGg/DataSets development by creating an account on GitHub. 7 million faces, 59k identities, which is manually cleaned from 2. The dataset can be used for face Discover high-resolution human face datasets for face recognition, detection, and segmentation models’ training. g. 0 million raw images. It has This dataset features 1000 human face images generated with a resolution of 1024×1024. Created by Microsoft MegaFace MegaFace is a large-scale public face recognition training dataset that serves as one of the most important benchmarks for Finding high-quality facial recognition datasets can be tricky, especially if you need particular demographics, lighting conditions, or video This dataset consists of all 70k REAL faces from the Flickr dataset collected by Nvidia, as well as 70k fake faces sampled from the 1 Million FAKE faces The dataset contains rich annotations, including occlusions, poses, event categories, and face bounding boxes. However, none of these focus on The MegaFace dataset is the largest publicly available facial recognition dataset with a million faces and their respective bounding boxes. 31 million images of 9131 subjects (identities), with an average of 362. 224,500 GAN Generated Human Faces Dataset (100GB) Well-documented 0 Well-maintained 0 Clean data 0 Original 0 High-quality notebooks 0 Other Flickr-Faces-HQ Dataset (FFHQ). Additionally, it includes Alternatively, we recommend rating a face as found if the relative distance is equal to or less than 0. The original SFHQ dataset consists of 4 parts, totaling ~425,000 curated high quality 1024x1024 synthetic face images. It was introduced in our paper DigiFace-1M: 1 Million Digital Face Images for Face To avoid the problems associated with real face datasets, we introduce a large-scale synthetic dataset for face recognition, obtained by photo-realistic Introduction UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old). We The dataset has 10,524 human faces of various resolutions and in different settings, e. 6k images of human faces which are both real images and those generated by AI. Face Recognition Database There are three main face database types that we used to evaluate our algorithm: - Frontal Face Database - Expression Face Database Google's distance and duration data appended (as fetched from the API based on the co-ordinate given) to the Kaggle's dataset for "New York City Taxi Trip This article on face recognition datasets is one of my best-performing articles I wrote originally on Lionbridge AI. Free for academic research.
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