Face Ethnicity Dataset

Download the desired file or files listed below to the location of your choice. The Faces in the Wild dataset has many ethnicities and somewhere on the internet (sorry, can't find it now) there's a CSV file with variables like isWhite and isAsian as well as gender information (I think this information is automatically tagged as the values are floating point). Shadbegianb, and Ann Wolvertonc. This report examines how the racial/ethnic composition of individual census tracts in Harris County has changed — or in some cases, has not — in the face of 30 years of demographic shifts across the region. Through its research, education, and public outreach programs, the Center helps leaders in government, business, and the civic sectors make decisions that effectively address the needs of cities and communities. The in-crease of cyberbullying and cyberterrorism, and. In addition, the dataset comes with the manual landmarks of 6 positions in the face: left eye, right eye, the tip of nose, left side of mouth, right side of mouth and the chin. Through these analyses, we seek to understand whether or not human accuracy degrades in a similar manner as ma-chines when the quality of a face sample degrades (e. As an indication, Li et al. 99 Ocean Breeze Orchids $44. 1 in 16 countries, achieving over 1 million downloads and reaching out to a global audience. This dataset consists primarily of labeled face images of individuals from East Asian countries, including Vietnam, Burma, Thailand, China, Korea, Japan, Indonesia, and Malaysia. Cukic Lawrence. To facilitate face anti-spoofing research, we introduce a large-scale multi-modal dataset, namely CASIA-SURF, which is the largest publicly available dataset for face anti-spoofing in terms of both subjects and visual modalities. Your online resource for forms, handbooks, policies, and other related information. Wider Face. Strengths of the Growing Up in New Zealand datasets The study has successfully recruited a cohort of nearly 7000 families who are broadly generalisable in terms of diversity of ethnicity, and markers of socio-economic status to families having children in New Zealand today. The classification of civil wars and intra-state conflicts is a delicate problem and the dataset differentiates between many different types of conflict: Civil wars involving the government of the state against a non-state entity Conflict to control the central government; Disputes over local issues. Looking at gender, race and. The Economic and Social Research Council is the primary funder of the study The Study is led by a team at the Institute for Social and Economic Research (ISER) at the University of Essex. Due to privacy issues related to identifying individuals, face data is not made available in combination with other subset of modalities, only as a single subset. The images cover large variation in pose, facial expression, illumination, occlusion, resolution, etc. When it comes to racial discrimination in the workplace, most Americans (60%) say blacks and whites are treated about equally, but opinions on this vary considerably across racial and ethnic groups. The dataset used for training is the Montreal Set of facial displays of emotion (MSFDE). population. discrimination. The dataset consists of a total of 25,000 face annotations. Additionally, the study title was updated and online analysis functionality was added. Face images 2x, 2y and 2z are the three gallery images of Suspect 2. To foster the research in this field, we created a 3D facial expression database (called BU-3DFE database), which includes 100 subjects with 2500 facial expression models. edu Abstract—The problem of face verification across the short. this work, we enhance the APPA-REAL dataset, containing around 8K images with real and apparent ages, with new annotated attributes, namely gender, ethnic, makeup, and expression. In this paper, we introduce a new large-scale face dataset named VGGFace2. State School enrolments by gender, indigenous status, EALD and API CSV Popular. Theseesults r state empirical observations for the particular dataset, but they do not determine cause. Update: In response to this report and an investigation by the Financial Times, Microsoft has terminated their MS-Celeb website msceleb. Find images of Eyeglasses. - Automatic facial expression feature extraction. There was a public exhibit of the MegaPixels project in London in 2017 which included a kiosk where you could determine if your image was in one of the facial recognition databases. Mssrs Villareal and Tamborini note that because recent immigrants are more likely to be part of disadvantaged racial and ethnic minorities “they may face greater challenges in the US labour. The first publicly available long-range and high-quality iris/ face dataset. Data Preview: Note that by default the preview only displays up to 100 records. Further information may be found on the ONS Crime Survey for England and Wales webpage and for the previous BCS, from the Home Office BCS Methodology webpage. Age and gender from a subset of guessers is also provided. These fiducial points were located manually on the facial color images using a computer based graphical user interface. The dataset consists of a total of 25,000 face annotations. In all sequences, only one subject is presented in the image at a time. Numerous applications benefit from the recent advances in prediction of face attributes, including biometrics (like age, gender, ethnicity) and accessories. Data Release Information. org Epidemiology of Drinking and Disorders in Border vs. A central factor is the presence of indirect/inferential identifiers remaining in the dataset. Click OK, then refresh this Yelp page and try your search again. - Subjects of any age, ethnicity and appearance. We look at the …. , whites, Hispanics, and Asians—hire more whites and fewer blacks than do black managers. Robert Frischholz. Other datasets have multiple modalities such as XM2VTSDB multi‐modal face database [ 40 ] which is the Extended M2VTS database. DataSA provides datasets from the last pay period in June each year on the department’s: workforce headcount and classification by Aboriginal and Torres Strait Islander identification, age, gender, employee classification, full and part-time status, headcount and full-time equivalent (FTE). Key Facts on Health and Health Care by Race and Ethnicity 2 Methods Data for this chart pack come from a variety of nationally-representative datasets, including the 2015 Current Population Survey, March Annual Social and Economic Supplement , the 2014 Behavioral Risk Factor. Due to privacy issues related to identifying individuals, face data is not made available in combination with other subset of modalities, only as a single subset. (eds) (2004) Millennium Cohort Study first survey: a user's guide to initial findings, London: Centre for Longitudinal Studies (available at the Centre for Longitudinal Studies). Once trained, our system is capable of classifying the gender and ethnicity of any such model of interest. Consistent with the theory of the glass cliff, we find that. Read more on this dataset (PDF) or contact: Sarah E. born second generation Latinos of foreign-born parents. Make no use of the identity of any person or institution discovered inadvertently, and advise NCES of any such discovery. Figure1provides a high-level overview of the architecture used for learning to detect face attributes, denoted with AttrA-* and AttrB-*. The location of they eyes in each frame was picked manually and used to normalize the head by rotation and cropping. The recording of portal 1 and portal 2 are one month apart. large variations in appearance, pose, expression, ethnicity, age, gender, etc. Data Center Build, download and share custom tables, graphs and maps utilizing data on key sexual and reproductive health indicators from the Guttmacher Institute and other trusted sources. New Database: EURECOM Visible and Thermal paired Face database added to "Databases" page. Fair Market Rents (FMRs) are used to determine payment standard amounts for the Housing Choice Voucher program, to determine initial renewal rents for some expiring project-based Section 8 contracts, to determine initial rents for housing assistance payment (HAP) contracts in the Moderate Rehabilitation Single Room Occupancy program (Mod Rehab), rent ceilings for rental units in both the HOME. Sharp Rise in the Share of Americans Saying Jews Face Discrimination White Republicans and Democrats far apart in views of discrimination against racial and ethnic groups. Then, the user can post new images to the API and receive information about the faces in the image. Customs and Border Protection is the unified border agency within the Department of Homeland Security charged with the management, control and protection of our nation's borders at and between. Share photos and videos, send messages and get updates. We provide here an automatic procedure to build EGA (Ethnicity, Gender and Age) face database, a larger multi-racial database, designed and implemented to overcome these limitations. 0%), followed by Brent in London (36. selection, their division of the face into functional parts such as the eyes, nose, etc. – Deals with inaccurate facial expression data. This dataset and predefined summary tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2017, which monitors agricultural policy developments in 35 OECD member countries, 6 non-OECD EU member states and 11 emerging economies: Brazil, China, Colombia, Costa Rica, Indonesia, Kazakhstan, Russia, the Philippines, South Africa, Ukraine and Viet Nam. I'm looking for a data base with lots of pictures of faces of different ethnicity with neutral expressions. MNCM recommends all medical groups consider implementing a collection system in 2009. View a summary of selected facts about a school or district as well as tables and graphs of reported data. However, the ethnic is very unbalanced for the MORPH II dataset, i. Multimodal Biometric Dataset Collection, BIOMDATA, Release 2: Second release of the biometric dataset collection contains image and video files for the following modalities: Iris; Face. • The Face-Off challenge is one of a three-part challenge in the Vision for Intelligent Vehicles & Applications (VIVA) aimed at building robust and accurate vision algorithms for facial analysis. Han Chinese are the largest single ethnic group in Beijing. large variations in appearance, pose, expression, ethnicity, age, gender, etc. , face detection, age estimation, age progression/regression, landmark localization, etc. Kelly of Pennsylvania) introduced the following bill; which was referred to the Committee on Energy and Commerce A BILL To maximize discovery, and accelerate development and availability, of promising childhood cancer treatments, and for other. This new dataset is available on a separate page: https://data. The ethnic civil war ends in 2001, but not the war. In addition, an interim report by a biometrics advisory group to the government considering ethical issues of facial recognition highlighted concerns about the lack of ethnic diversity in datasets. Face Recognition - New @ face-rec. Face Recognition Grand Challenge (FRGC) dataset recorded such 50,000 un‐/controlled images from 4003 subject sessions. The resources in this dataset contain demographic information for the Oklahoma state government workforce. The images cover large variation in pose, facial expression, illumination, occlusion, resolution, etc. This is coupled with other variations for pose, lighting, expression, background, ethnicity, age, gender, clothing, and camera quality. high minority ethnic populations or parents in advantaged wards. The focus of this article is on the improvement of Hispanic or Latino student success in online K–. Maternal deaths: The annual number of female deaths from any cause related to or aggravated by pregnancy or its management (excluding accidental or incidental causes). Labeled Faces in the Wild (LFW) It can be considered the most important unconstrained face dataset up today. The Helen dataset. Face/voice dataset (zip, 1. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Almost twenty different studies have addressed racial, ethnic, or gender discrimination in federal sentencing using these datasets in the fifteen years since full implementation of the guidelines. actors, athletes, politicians). The MUCT database consists of 3755 faces with 76 manual landmarks. In addition, an interim report by a biometrics advisory group to the government considering ethical issues of facial recognition highlighted concerns about the lack of ethnic diversity in datasets. The Royal College of Ophthalmologists Dataset Guidelines 8 Standard Items Certain items in datasets will be common to others (e. (April 2016) U. It is a subset used for eye blink evaluation of larger Silesian dataset. Annotated Facial Landmarks in the Wild (AFLW) Annotated Facial Landmarks in the Wild (AFLW) provides a large-scale collection of annotated face images gathered from the web, exhibiting a large variety in appearance (e. To proceed you must signify your agreement to comply with the above-stated statutorily based requirements. This is an accompanying post for our release of Russian Open Speech To Text (STT/ASR) Dataset. Smith2 Stefanos Zafeiriou1,3 1Imperial College London, UK 2University of York, UK 3FaceSoft. The MUCT Face Database. At the top-right hand corner of the window, click the button with three dots on it , then Settings. We train pose-specific landmark localization models for each view rendered, and use the shape images to project the fitting to the 3D surface, compositing the resulting. There are four types of images in the dataset: Normal Face Image: each subject has a non-disguised frontal face image. - Deals with inaccurate facial expression data. pose, lighting, expression, background, ethnicity, age, gen-der, clothing, hairstyles, and camera quality, thereby mak-ing the dataset challenging for the task of face recognition. It provides a comprehensive body of data on the labor force, employment, unemployment, persons not in the labor force, hours of work, earnings, and other demographic and labor force characteristics. The sketches generated by data-driven method (MWF), model-based method (cGAN) and our method (pGAN) are listed in the second, third and fourth rows, respectively. The dataset consists of 70,000 high-quality PNG images at 1024×1024 resolution and contains considerable variation in terms of age, ethnicity and image background. that more ethnically divided societies face high-er risks of ethnic war because shared ethnicity decreases the collective action costs associated with organizing a rebel force. Smith2 Stefanos Zafeiriou1,3 1Imperial College London, UK 2University of York, UK 3FaceSoft. , it has only less than 1% Asian faces. The recording of portal 1 and portal 2 are one month apart. 6 images for each subject. 1 million face images extracted from over 6. The original CDP sample consisted of 585 children (52% male; 81% European American, 17% African American, and 2% other ethnic groups). Once trained, our system is capable of classifying the gender and ethnicity of any such model of interest. Images are downloaded from Google Image Search and have large variations in pose, age, illumination, ethnicity and profession (e. Face Recognition - Databases. 4% (559 images out of 2460 images failed for the face detection either by using VeriLook [8] or Face++ matcher [9]). We inspect services providing education and skills for learners of all ages. The pose is nominally frontal but with considerable variation. Your online resource for forms, handbooks, policies, and other related information. Strengths of the Growing Up in New Zealand datasets The study has successfully recruited a cohort of nearly 7000 families who are broadly generalisable in terms of diversity of ethnicity, and markers of socio-economic status to families having children in New Zealand today. The Changing Face of America's Adolescents | HHS. o Source: The COFW face dataset is built by California Institute of Technology, o Purpose: COFW face dataset contains images with severe facial occlusion. Graya, Ronald J. The first publicly available long-range and high-quality iris/ face dataset. Workforce datasets. The questions explore areas of Mayoral policy and priority including policing and safety, the environment, transport, the Olympics and london life. This dataset consists primarily of labeled face images of individuals from East Asian countries, including Vietnam, Burma, Thailand, China, Korea, Japan, Indonesia, and Malaysia. Face recognition performance is evaluated on a small subset of the LFW dataset which you can replace with your own custom dataset e. VGG-Face is composed of a sequence of convolutional, rectified linear unit (ReLu), pool, and fully connected (FC) layers. Kelly of Pennsylvania) introduced the following bill; which was referred to the Committee on Energy and Commerce A BILL To maximize discovery, and accelerate development and availability, of promising childhood cancer treatments, and for other. A cut with layers will soften the angles of your face, and wispy bangs will help balance it. 3) Variation in age: The GOV dataset is mostly con-sists of older people whereas the ALS dataset is consists of younger people. a panel dataset on road development for the entire history of modern Kenya and splicing this with historical data on the ethnicity of political leaders. Face to face survey conducted in 2010 including samples of Britain's largest ethnic minority groups; Indian, Pakistani, Bangladeshi, African and Caribbean (combined n=2,787). 28 August 2018. 3D facial models have been extensively used for 3D face recognition and 3D face animation, the usefulness of such data for 3D facial expression recognition is unknown. 2 software for the HomePod with long-awaited features like Handoff and voice detection for different family members, but unfortunately, some users are running into problems with the update. To address such findings, face sets have been developed that consist of models from various backgrounds. California Population Projection by County, Age, Gender and Ethnicity California county population projections by age, gender and ethnicity for 1970-2050, developed by the CA Department of Finance Data and Resources. Not link any dataset with individually identifiable data from other NCES or non-NCES datasets. Census Bureau has retired American FactFinder (AFF), its statistics and information search engine after 20 years. Geological Survey contract 03CRN001; Raytheon ITSS, work performed under U. Singapore Residents by Age Group, Ethnic Group and Sex, End June, Annual Files in this dataset: Singapore Residents by Ethnic Group and Sex, End June, Annual Singapore Residents by Age Group, Ethnic Group and Sex, End June, Annual Views for this resource: Chart (By Gender) Chart (By Ethnic Group) Table. Options for accessing datasets for incidence, mortality, county populations, standard populations, expected survival, and SEER-linked and specialized data. The comparatively poor performance of facial-recognition software when identifying ethnic minorities is likely to have motivated this targeting. Deaths counts for Connecticut Residents by cause of death. Face/voice dataset (zip, 1. I'm looking for a data base with lots of pictures of faces of different ethnicity with neutral expressions. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. 9% of Britain’s population are from ‘visible’ minority ethnic groups – that is to say, people identifiable by skin colour – with about 1. Dataset records are made available to researchers only after the receipt and acceptance of a completed and signed Database Release Agreement. 8 per 100,000. You can type one or more words to reduce the range of options. An intriguing pattern of breast cancer in African-American women is seen in the age-incidence curves for the disease, as demonstrated in Figure 2 ⇓ [1, 2]. The Faces in the Wild dataset has many ethnicities and somewhere on the internet (sorry, can't find it now) there's a CSV file with variables like isWhite and isAsian as well as gender information (I think this information is automatically tagged as the values are floating point). The National Health and Nutrition Examination Survey (NHANES) is an ongoing survey of adults and children that uses face-to-face interviews and physical examinations to assess health status. Presidential election is predicted by several factors, including a respondent’s race/ethnicity and how they feel about the Democratic and Republican Parties. This article is categorized under:. I have had a lot of success using it in Python but very little success in R. Apple pulls HomePod 13. Many of the datasets include only one record per subject (unique identifier PId). Singapore Residents by Age Group, Ethnic Group and Sex, End June, Annual Files in this dataset: Singapore Residents by Ethnic Group and Sex, End June, Annual Singapore Residents by Age Group, Ethnic Group and Sex, End June, Annual Views for this resource: Chart (By Gender) Chart (By Ethnic Group) Table. The process of conceptualizing the future as a set of possibilities and then taking steps to create the future we want. Each person is given a unique anonymous identity under the form of a digit (1, 2, 3, …) and this identity is consistent through the entire video. , various types of data) and multi-modal approaches (i. 3) Variation in age: The GOV dataset is mostly con-sists of older people whereas the ALS dataset is consists of younger people. Specifically, we use individual typology angle (ITA) to approximate skin tone in dermatology datasets. These records are uniquely identified by PId and ItemGroupRepeatKey. Valentine's Day Flowers & Gift Delivery. Bureau of Labor Statistics The Impact of Raising the Minimum Wage on Women and the Importance of Ensuring a Robust Tipped Minimum Wage (report) (March 2014) Prepared by the National Economic Council, the Council of Economic Advisers, the Domestic Policy Council, and the Department of Labor. BEV1 Dataset The BEV1 Dataset is a resource for those who wish to begin exploring the visual world available to infants and robots, and seeking to answer questions about the wide array of representations learnable without any teacher, and without any informative preexisting knowledge of the world. ) are also important. The Harvard Joint Center for Housing Studies advances understanding of housing issues and informs policy. Using face detector and face alignment tool, these faces are automatically cropped and normalized in grey level and geometry as in [6], and each face is manually labeled with an age value estimated by human subjectively. 2011), and so is highly robust to pose, ethnicity, and emotive variation. We’ll cover how ethnicity detection works, how it’s different from the practice of ancestry and the science of genealogy, and you’ll be able to view some cool examples of Kairos’ ethnicity detection accuracy. Girls and women have made major strides since 1990, but they have not yet gained gender equity. Dataset in details. world helps us bring the power of data to journalists at all technical skill levels and foster data journalism at resource-strapped newsrooms large and small. The dataset we are going to use contains 73 different face attributes, but we are only going to focus on gender and race. Here is a sample of the images present in the dataset:. Cultural Pluralism – The commingling of different social or ethnic backgrounds into a single larger culture where each still maintains the separate characteristics of the original culture. NCES Data Usage Agreement. (2019, January 10). The Roper Center archive consists of over 35,000 datasets from public opinion surveys dating back to the 1930s. This dataset is the result of the integration of subset of a number of existing face datasets, that are quite different in nature in terms of ethnicity (E), gender (G), and age (A) of subjects. actors, athletes, politicians). In comparison to face recognition, the proposed three "T" regions are evaluated on the olivetti research laboratory face dataset, and the results show that the constructed "T" regions for ethnicity recognition are not suitable for general face recognition. This dataset could be used on a variety of tasks, e. Based Flag Dataset Contact Dataset Owner. total of 130,856 video frames. In this paper, we introduce a new social network dataset based on one popular SNS, Facebook. The Royal College of Ophthalmologists Dataset Guidelines 8 Standard Items Certain items in datasets will be common to others (e. , it has only less than 1% Asian faces. (For now, the dataset I used has only "White," "Black," and "Asian" faces. the resulting dataset and several baseline ex-periments with different classification models. and will make this freely available to the research community. We train pose-specific landmark localization models for each view rendered, and use the shape images to project the fitting to the 3D surface, compositing the resulting. Additionally, the study title was updated and online analysis functionality was added. Images are downloaded from Google Image Search and have large variations in pose, age, illumination, ethnicity and profession. , Vice President, Research, Health Research and Educational Trust/AHA, One North Franklin, 30th Floor, Chicago, IL 60606. The study is a nationally representative study of American adults. Apple pulls HomePod 13. 5% were classified by matching first names to external sources, such as the US Census Bureau. The photos are typically of a person's face and feature a green box with a black and green label listing an automatically generated label for the person, based on the software's best guess of what social role they occupy. o Source: The COFW face dataset is built by California Institute of Technology,. This comprehensive dataset, which will be disaggregated by sex, racial/ethnic group, and socioeconomic status, will allow researchers to address numerous questions related to adolescent brain development to help inform future prevention and treatment efforts,. Some datasets contribute for only one ethnicity: JAFFE and Indian Face Database only contribute respectively for Asian and Indian ethnicities. actors, athletes, politicians). Geological Survey, Department of the Interior — The USGS National Hydrography Dataset (NHD) Downloadable Data Collection from The National Map (TNM) is a comprehensive set of digital spatial data that encodes. Many datasets are collected by enrolling students, therefore the prevailing age range is 20-35. The photos are typically of a person's face and feature a green box with a black and green label listing an automatically generated label for the person, based on the software's best guess of what social role they occupy. Based on Public Health Statistics- Life Expectancy By Race Ethnicity Publishing to the public requires approval This dataset gives the average life expectancy and corresponding confidence intervals for sex and racial-ethnic groups in Chicago for the years 1990, 2000 and 2010. Make no use of the identity of any person or institution discovered inadvertently, and advise NCES of any such discovery. limited access to federal datasets, largely due to concerns over privacy and patient confidentiality, which limits the progress of research on rural populations. View a summary of selected facts about a school or district as well as tables and graphs of reported data. Cancer survival statistics are typically expressed as the proportion of patients alive at some point subsequent to the diagnosis of their cancer. Among full- and part-time workers in the U. Keywords: Ethnicity classification, LDA, ensemble, face recognition 1. It appears that the NimStim (Research Network on Early Experience and Brain Development) dataset may be useful. The questions explore areas of Mayoral policy and priority including policing and safety, the environment, transport, the Olympics and london life. 0%), followed by Brent in London (36. This study examined whether individuals seeking post-mTBI mental health care had previous mental health diagnoses or a new onset of such disorders, and determined if mental health care utilization differed by race/ethnicity. For privacy considerations, a count of zero is used for counts less than five. New Database: EURECOM Visible and Thermal paired Face database added to "Databases" page. It works like this in every aspect of life. There is no cure, but new treatments may slow the progression. used the same dataset to construct a huge unfiltered face dataset (Diversity in Face, DiF) [39]. There is more variety of face sizes than in the other databases, although the mean face size is smaller (see Table II). Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia using demographic and medical characteristics. Census Bureau released its 2010-2014 American Community Survey (ACS) 5-year estimates. actors, athletes, politicians). 0 AfricanAmerican Hispanic NonHispanic, White Other Total Note: The percentages of externalizing were significantly different across the ethnic. Analyze a series of face related attributes including age, gender, smile intensity, head pose, eye status, emotion, beauty, eye gaze, mouth status, skin status, ethnicity, face image quality and blurriness. The dataset used for training is the Montreal Set of facial displays of emotion (MSFDE). If the jawline is angular, it may be referred to as a rectangular face. Notes on the data. For many, discrimination is a recurring experience. Topics include Community and local area – local priorities and community safety How residents spend their time – employment, health, and culture Digital Brent. Predicting face attributes from images in the wild is challenging, because of complex face variations such as poses, lightings, and occlusions as shown in Fig. I have had a lot of success using it in Python but very little success in R. csv) Description 1 Dataset 2 (. However, available datasets are not organized according to any categorization, and it often happens that either ethnicity or gender, or age, are not uniformly represented. These records are uniquely identified by PId and ItemGroupRepeatKey. It also includes a program to easily navigate the 10,000+ image dataset to create custom image sets based on memorability or several other attributes. Jeffrey Preston Bezos (/ˈbeɪzoʊs/; born Jorgensen; January 12, 1964) is an American technology entrepreneur, investor, philanthropist, and the founder, chairman, and chief executive officer of Amazon, the world's largest online retailer. Ma, Joshua Correll, and Bernd Wittenbrink. , type of partner, type of sexual activity) under which condoms were and were not used. org Epidemiology of Drinking and Disorders in Border vs. The introduction of a new dataset of portraits, Caltech Multi-Distance Portraits (CMDP), composed of 53 subjects belonging to both sexes and a variety of ages, ethnic backgrounds and physiognomies. To foster the research in this field, we created a 3D facial expression database (called BU-3DFE database), which includes 100 subjects with 2500 facial expression models. The first publicly available iris image dataset with more than one thousand subjects. Ethnicity classification is performed on ND-Iris-0405 and the proposed Multi-Ethnicity dataset. On the contrary, datasets such as FERET and FRGC provide a more or less significant contribution for most ethnicities. With that objective in mind, the Facebook Data team recently sought to answer the question, "How diverse are the ethnic backgrounds of the people using Facebook?" This is a tough question to answer because, unlike information such as gender or age, Facebook does not ask users to share their ethnicity or race on their profiles. , it has only less than 1% Asian faces. , whites, Hispanics, and Asians—hire more whites and fewer blacks than do black managers. We list some face databases widely used for face related studies, and summarize the specifications of these databases as below. Images are downloaded from Google Image Search and have large variations in pose, age, illumination, ethnicity and profession (e. 31 million images of 9131 subjects, with an average of 362. Popular Baby Names by Sex and Ethnic Group Data were collected through civil birth registration. Launched by the U. Dental Utilization Measures and Sealant data by County, Ethnicity, & Age Calendar Year 2013 to 2017 This dataset shows use of Medi-Cal dental benefits by Medi-Cal. - No special markers/make-up required. total of 130,856 video frames. *These labels are as obtained from the Face++ ethnicity classifier. The FACEMETA dataset includes physical attributes as well as facial landmarks and facial feature encodings for each individual image. The database was created to provide more diversity of lighting, age, and ethnicity than currently available landmarked 2D face databases. varying illumination and complex background. NCES Data Usage Agreement. NtechLab develops and implements artificial intelligence algorithms. The dataset consists of a total of 25,000 face annotations. 6 images for each subject. Face images 2x, 2y and 2z are the three gallery images of Suspect 2. A full resolution image may be found here. Download the desired file or files listed below to the location of your choice. With over 200 African ethnic groups, the majority are Bantu; the four largest tribes—Mongo, Luba, Kongo (all Bantu), and the Mangbetu-Azande (Hamitic)—make up about 45% of the population Congo, Republic of. Relative survival is an estimate of the percentage of patients who would be expected to survive the effects of their cancer. I'm looking for a data base with lots of pictures of faces of different ethnicity with neutral expressions. Journals & Books; Create account Sign in. words, ethnicity classifier does not have to be perfect to be useful in practice. Face recognition performance is evaluated on a small subset of the LFW dataset which you can replace with your own custom dataset e. Black nurses and midwives as well as those of Unknown ethnicity are disproportionately represented in the population of referrals to the NMC. Children are the most visible victims of undernutrition. The Helen dataset. It depicts the risk of maternal death relative to the number of live births and essentially captures the risk of death in a single pregnancy or a single live birth. 5, 2017 /PRNewswire/ -- In the recently released results of Face Recognition Vendor Test, a prestigious international benchmark, Yitu Technology, a company from China. Ethnicity - Source Data. to the research community. This is the largest dataset available for face verification. In order to progress toward fair face recognition and attribute estimation truly in the wild, we propose a new challenge which focuses on a well-balanced dataset across multiple factors: age, gender, ethnicity, pose and resolution. A new protocol is also defined on the Multi-Ethnicity dataset for ethnicity classification. In this work, we expand on previous studies of the recognition accuracy of humans. It provides a comprehensive body of data on the labor force, employment, unemployment, persons not in the labor force, hours of work, earnings, and other demographic and labor force characteristics. This week, Twitter has been inundated with pictures generated by ImageNet Roulette. The dataset consists of a total of 25,000 face annotations. Citation Fieldhouse, E. The challenge placed focus on a pertinent, but largely neglected issue - the biasness of face analytics datasets, with respect to factors such as age, gender, ethnicity, pose and resolution. 5% from ‘white’ minority groups. In face localization, the task is to find the locations and sizes of a known number of faces (usually one). Each of the questionnaires consists of several modules. csv) Description 1 Dataset 2 (. The pose is nominally frontal but with considerable variation. Jamil Asaria, founder of Face Cosmetic Surgery Toronto in Yorkville, is a top rhinoplasty specialist and facial cosmetic surgeon providing some of the best face and nose surgery in Canada. Face to face survey conducted in 2010 including samples of Britain's largest ethnic minority groups; Indian, Pakistani, Bangladeshi, African and Caribbean (combined n=2,787). * NamSor Origin API detects the most likely country of origin of international names, among 140+ countries, in any script / language (LATIN, ARABIC, etc. The ethnic civil war ends in 2001, but not the war. This modulation by race or ethnicity is not identified for all populations (Beaupre and Hess, 2005) and may be driven by experience (Elfenbein and Ambady, 2003) and bias (Phelps et al. Secondary data can either be qualitative, such as diaries, newspapers or government reports, or quantitative, as with official statistics, such as league tables. The Yale Face Database is a. Predicting face attributes from images in the wild is challenging, because of complex face variations such as poses, lightings, and occlusions as shown in Fig. This Handbook defines the data elements and provides advice on issues related to implementation. A central factor is the presence of indirect/inferential identifiers remaining in the dataset. We are a team of experts in machine and deep learning, focused on building software that makes the world a safer and more comfortable place. The Ministry performs a number of roles in addition to being the key advisor and support to the Minister of Health. Face rectangle (left, top, width, and height) indicating the face location in the image is returned along with each detected face. Status and Trends in the Education of Racial and Ethnic Groups. Automated face recognition (AFR) aims to identify people in images or videos using pattern recognition techniques. Ward Summary • Holgate has 12832 residents with 8. Ma, Joshua Correll, and Bernd Wittenbrink. Dataset and documentation The dataset and additional documentation are available to download here. This dataset and predefined summary tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2017, which monitors agricultural policy developments in 35 OECD member countries, 6 non-OECD EU member states and 11 emerging economies: Brazil, China, Colombia, Costa Rica, Indonesia, Kazakhstan, Russia, the Philippines, South Africa, Ukraine and Viet Nam. This dataset contains over 10,000 images that include multiple people or just a single person. Iris [22] datasets. Each subject was photographed from seven different distances and each portrait manually labeled with 55 keypoints distributed across the sitter's. The dataset used for training is the Montreal Set of facial displays of emotion (MSFDE). The FACEMETA dataset includes physical attributes as well as facial landmarks and facial feature encodings for each individual image. The resources present data from the current fiscal year along with demographic trends over time. Median household income in. - Deals with rigid head motions. She found them all wanting. The council-level data includes the electoral results for 279 local authorities merged with the ONS socio-demographic data. They make up 95. Table 5 shows. It is estimated that undernutrition—including stunting, wasting, deficiencies of vitamin A and zinc, and fetal growth restriction (when a baby does not grow to its normal weight before birth)—is a cause of 3·1 million child deaths annually or 45 percent of all child deaths in 2011 (UNICEF, World Health Organization [WHO], & The. Residents Attitude Survey is a face-to-face survey of 2,100 representative residents carried out May-June 2018 asking residents about their neighbourhood, the council and themselves. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: