Indian faces dataset. Some of the samples of .

Indian faces dataset Existing public face image datasets are strongly biased toward Caucasian faces, and other races (e. In this paper, we present a novel \textbf{Indian Masked Faces in the Wild (IMFW)} dataset which contains images with variations in pose, illumination, resolution, and the variety of masks worn by the subjects. An Indian facial database highlighting the Spectacle Problems Occlusion, glare and secondary reflections formed due to and on the spectacles - results in poor detection, localization, and Image Data of South Asian Indian People of Age Category between 20 - 30. The original dataset was quite unstructured and all the images were put together. We generated a data set with 1,647 Indian faces labeled with fine-grained geographical origin and gender. You signed out in another tab or window. mill ion images to ex tract featu res then SVM wi th linear ke rnel . There are also other datasets such as Indian Face Age Database (IFAD) [Sharma and Patterh 2015] which contains attribute information The dataset used are UTKFace Dataset and FairFace Dataset out of which Indian Race faces were seperated and the model was trained with. The Indian Pines scene contains two-thirds agriculture, and one-third forest or other natural perennial vegetation. of 40 di erent people containing pose and emotion attributes. Free for commercial use No attribution required Copyright-free Biometric management and that to which uses face, is indeed a very challenging work and requires a dedicated dataset which imbibes in it variations in pose, emotion and even occlusions. The database was created to provide more diversity of lighting, age, and ethnicity than currently available landmarked 2D face databases. The experiments of this work proved the extreme complexity of recognizing newborns. The IIITM Face dataset includes 107 The experimental results exhibit that the proposed model can effectively classify different emotions in the IIITM Face dataset with an overall accuracy of 61% using the SVM classifier (vertically oriented with different This dataset consists of Indian face images of individuals with masks and without masks . Our dataset was combined with the CelebA-HQ subset of the CelebA dataset, which includes 30,000 of the best-labeled photos from the CelebA dataset. Also, there does not exist a well-annotated video dataset for Indian subjects. Sample images depicting the challenges in the proposed WSD dataset. Generated Photos. Subjective ratings of the 284 target faces (142 Indian Asian, 142 Caucasian) with neutral facial expressions were obtained using two separate tasks (A and B) designed with Qualtrics Research Suite Software. The face images and videos of different emotions, ages and dynamic expressions are stored in three separate As the accuracy of face detection algorithms is improving, there are more and more challenging face datasets. challenges in the IMFW dataset, and results of existing face recog-nition algorithms on the IMFW dataset. 1 Description. What significant work did P. It includes 1302 validated facial expressions of 186 UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old). Something went wrong and this page crashed! We create the largest Asian face dataset so far, containing 360,000 face images by 2019 individuals. Since most existing face detection datasets lack suitable annotation for such analysis, we web-curate the Fair Face Localization with Attributes (F2LA) dataset and manually annotate more than 10 attributes per face, including facial The SCIN dataset contains 10,000+ images of dermatology conditions, crowdsourced with informed consent from US internet users. The images cover large variation in With this objective in mind, compiled an image dataset consisting of Indian facial expressions with Happiness, Thoughtfulness, Anger, Surprise, Sadness, Fear, and Excited We have benchmarked North Vs South categorization on close to 130 humans and machines performance on a novel database of close to 1650 diverse Indian faces labeled for In this work, a new dataset named IIITM Faces is introduced for the scientific community to address the abovementioned challenges. Extensive norming data are available for each individual model. Faces in 305 open source face images. With the advancements in deep learning technologies, real-world The outer shell of human face may seem different in multiple occasions due to its flexibility and three dimensional formation. googles and spectacles alongwith The IIITM Face Dataset contains 1928 images of 107 people spanning across a wide range of facial attributes such as pose, gender, emotion, facial hair (beard and moustache), glasses, In this work, a new dataset named IIITM Faces is introduced for the scientific community to address the abovementioned challenges. The models trained from such datasets suffer from inconsistent classification accuracy, which limits the applicability of face analytic systems to non-White race groups. The images are taken in completely uncontrolled situations with non-cooperative subjects. Two datasets, namely Chicago Face Database (CFD) ( Ma et al. While The human images consisted of adult Indian male and female faces drawn from the IISCIFD Indian face dataset (Katti and Arun, 2019), whereas the animal and object images were acquired from internet There are also other datasets such as Indian Face Age Database (IFAD) [Sharma and Patterh 2015] which contains attribute information of Indian celebrities but has limited number of subjects and In this paper, we present two novel large-scale child face datasets as (a) Indian child dataset (ICD) and (b) Multi-Racial Child Dataset (MRCD) to spark progress in child face-aging, face recognition, skin tone analysis, age estimation, gender preservation, and kinship face identification. Except, for internal use at a single site India is a large country with huge diversity in skin tone and attire of the people. With the advancements in deep learning technologies, real-world The earliest dataset on Indian faces is the In-dian Face Dataset [Jain and Mukherjee 2002]. The IMFW dataset is limited in size (only 1374 images) and captured in unconstrained environmental settings with significant variations in pose, illumination conditions, and backgrounds, making it challenging to analyze the perfor- This work presents a benchmark dataset for children's face recognition, which is compiled similarly to the famous face recognition benchmarks LFW, CALFW, CPLFW, XQLFW and AgeDB, and presents a development dataset for adapting face recognition models for face images of children. Celebrities have voluntarily The main motivation of purposing Indian Face Age Database is to provide large set of variation with time. The aim of this research is to overcome the chal-lenges of unconstrained masked face recognition in the Indian con-text Description This scene was gathered by AVIRIS sensor over the Indian Pines test site in North-western Indiana and consists of 145 $\times$ 145 pixels and 224 spectral reflectance bands in the wavelength range 0. In this work, a new dataset named IIITM Faces is introduced for the scientific community to address the abovementioned challenges. Generators. Due to the COVID-19 pandemic, wearing face masks has become a mandate in public places worldwide. Paper introducing IMFDB dataset; Paper explaining Viola-Jones algorithm for real-time object detection; Experiments to try : [DONE] Deep CNNs with and w/o Dropout [DONE] Deep CNNs, Dropout + Data augmentation [DONE] Autoencoders for denoising Description: The MUCT database consists of 3755 faces with 76 manual landmarks. , 2013) and FG-NET (Lanitis et al. actors, athletes, politicians). Spaces using viber1/indian-law-dataset 4. These images are taken from over 100 videos. Images were collected from the YFCC-100M Flickr dataset and labeled with race, gender, and age groups. In other wordsFIR is only a complaint to set the affairs of law and order in motion and it is only at the investigation stage that all The proposed dataset was developed at the IoT Cloud Research Laboratory of IIIT-Kottayam – the dataset contains 395 clips of 44 volunteers between 17 to 22 years of age; face expressions were The earliest dataset on Indian faces is the In-dian Face Dataset [Jain and Mukherjee 2002]. This paper addresses the challenges of face attribute detection specifically in the Indian context. Find over 100+ of the best free indian face images. The proposed name of this database is Indian Face Age Database gdown --id 1C5H4xM2nAo0XBe-naUCc-2SKDpjtxXdb. In this paper we propose a new dataset which contains 395 clips of 44 volunteers between 17 to 22 year of age. Something went wrong and this page crashed! If the issue gdown --id 1C5H4xM2nAo0XBe-naUCc-2SKDpjtxXdb. The dataset contains about 1. Dataset Summary. , 2010). Indian Faces Samarth Sarin Mukesh Patel School of Technology Management and Engineering Narsee Monjee Institute of Management Studies Mumbai, India dataset was collected from the internet along with various diseases and plant names. In the past decade, Deep Learning has enjoyed Balanced Face Dataset: Guiding StyleGAN to Generate Labeled Synthetic Face Image Dataset for Underrepresented Group Class Asian Black Indian White Others. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. 6 . ' Our ISL dataset is a valuable collection of sign language gestures representing the diverse Indian Sign Language. In order to find out how different races influence face recognition, we manage to build an Asian dataset, termed Asian Face Dataset (AFD). The India Face Set: International and Cultural Boundaries Impact Face Impressions and Perceptions of Category Membership Dataset of around 800k images consisting of 1100 Famous Celebrities and an Unknown class to classify unknown faces. We have benchmarked North Vs South categorisation on close to 130 humans and machines performance on a novel database of close to 1650 diverse Indian faces labeled for fine-grained race (South vs North India) as well as for age, SJB Face dataset contains face images which were collected from digital camera. 5 k face images of 1k children in the age group of 2 to 18 years. Video Frames - Over 3. The dataset has posed expressions of 600 human subjects, and spontaneous/acted expressions of 6000 images crowd-sourced from the internet. Most advanced full-body human generator "The Chicago Face Database was developed at the University of Chicago by Debbie S. ChildGAN model and benchmark datasets should drive face Indian Movie Face Database: A Benchmark for Face Recognition Under Wide Variations Shankar Setty, Moula Husain, Parisa Beham, Jyothi Gudavalli, Menaka Kandasamy, Radhesyam Vaddi, Vidyagouri Hemadri, J C Karure, Raja Raju, B Rajan, Vijay Kumar and C V Jawahar Abstract—Recognizing human faces in the wild is emerging as a critically important, and A new dataset is proposed that reveals the human emotions that are specific to India that was developed at the IoT Cloud Research Laboratory of IIIT-Kottayam and analyzed using ResNet34 neural network. How is Data collected for ICDFR? Indian celebrity data is collected from various sources including search, social media, email request, webcam photos. e. We choose 32,203 images and label 393,703 faces with a high degree of variability in scale, pose and occlusion as depicted in the sample images. However, the differences in MAE between all age groups in the test face dataset were less than 1 year (ranging from 3. have presented an Indian dataset named as Indian Spontaneous Expression Dataset (ISED) – ISED bestowed lots of emphasis on the spontaneity of emotions; it Request PDF | Indian Masked Faces in the Wild Dataset | Due to the COVID-19 pandemic, wearing face masks has become a mandate in public places worldwide. zip challenges in the IMFW dataset, and results of existing face recog-nition algorithms on the IMFW dataset. Profile faces or very low-resolution faces are not labeled. This dataset is an extension of the NVIDIA Flickr-Faces-HQ Dataset (FFHQ), which is the selected top 760 female FFHQ images that only contain one complete human face. To address the challenges due to masks in the Indian context, we propose a novel Dual Sensor Indian Masked Face (DS- IMF) dataset, which contains images captured in In this paper, we present a novel Indian Masked Faces in the Wild (IMFW) dataset which contains images with variations in pose, illumination, resolution, and the variety of Labeled Faces in the Wild: This database of face photos was initially designed to help build an understanding of the challenges around unconstrained face recognition. Experimental results The CelebA-Spoof dataset is available for non-commercial research purposes only. In this paper, we contribute to the research in the field of Generative Modeling by presenting a medium sized, high quality, manually curated and robust dataset of consistent images containing faces of Indian Celebrities titled: INDIAN-CELEBNET. this is more than double the budgeted Rs 53,000-crore of capital infusion for current fiscal year. Our dataset contains 108,501 facial images collected primarily from the YFCC-100M Flickr dataset [59], which can be freely shared for a research pur-pose, and also includes examples from other sources such ### TranslatedIngredients: 1 cup Rice - soaked for 20 minutes,1/2 cup Yellow Moong Dal (Split) - soaked for 20 minutes,1 cup Mint Leaves (Pudina) - tightly packed,1/4 cup Coriander (Dhania) Leaves - tightly packed,1 Green Chilli,1 inch Ginger,1 teaspoon Cumin seeds (Jeera),5 cups Water,1 teaspoon Sunflower Oil,Salt - to taste,2 tablespoons Ghee The iSign dataset serves as a benchmark for Indian Sign Language Processing. Hot. OK, Got it. 31 million images of 9131 subjects (identities), with an average of 362. 6k that information should relate to the commission of a cognizable offence on the face of it. Face related datasets. 1 year ago. Where people create machine learning projects. 4 cial expression datasets. 0 based Checkpoints. NDAP allows users to search, merge, visualize, and download datasets easily. The dataset is free for research use but not for commercial purposes. C. Something went wrong Link to Dataset. The dataset also contains estimated Fitzpatrick skin type and Monk Skin Tone. It contains over 20,000 images with Create your own - Celeb face recognition system. 4 years) (Table 2). In this paper, we present a novel Indian Masked Faces in the Wild (IMFW) dataset which contains images with variations in pose, illumination, resolution, and the variety of masks worn by the subjects. INDIAN MASKED FACES IN THE WILD We present the Indian Masked Faces in the Wild (IMFW) dataset of 200 subjects. Manisha Satone "'KKWETC' Indian Face Database", International Journal of Engineering Trends and Technology (IJETT), V54(1),9-11 December 2017. Larger dataset means better and more consistent output! This LoKR is designed to generate Indian/ South Asian looking faces and skin-tones when applied to SDXL 1. This dataset can be used for Face Recognition, it has faces of 100 indian actors. This can lead to inconsistent model accuracy, limit the applicability of face analytic systems to non-White race groups, and adversely affect research findings based on such skewed data. Samples show as follow. Recently, automatic facial emotion recognition (FER), which aims to analyze and understand human emotions using facial expressions, has become an increasingly active research topic in the domains of computer vision, artificial intelligence, pattern recognition, etc. In contrast, the second largest Asian face dataset CASIA-FaceV5 merely includes 2500 images by 500 individuals. Our dataset contains 108,501 facial images collected primarily from the YFCC-100M Flickr dataset [], which can be freely shared for a research purpose, and also includes examples from other sources such as Twitter and online In this research, we emulate the real-world scenario of deepfake generation and spreading, and propose the DF-Platter dataset, which contains (i) both low-resolution and high-resolution deepfakes generated using multiple generation techniques and (ii) single-subject and multiple-subject deepfakes, with face images of Indian ethnicity. OK, In addition, the India face set includes 12 models of North East Indian Asian ethnicity that were not considered for the current analyses. This dataset can be used for tasks such as twins' face recognition. The same happens for the LFW for races other than Black, Indian and White. Croissant + 1. Something went wrong and this page crashed! No courts allow review petitions only in rare cases where serious irregularity is shown on the face of the record. Only showing a preview of the rows. The data diversity includes multiple face angles, multiple face postures, close-up of eyes, multiple light conditions and multiple age groups. There 2. indian-movie-faces-datasetimfdb-face-recognition To mitigate the race bias in the existing face datasets, we propose a novel face dataset with an emphasis on balanced race composition. The UTKFace dataset is a big collection of face pictures covering a wide range of ages from 0 to 116 years old. Explore and run machine learning code with Kaggle Notebooks | Using data from Indian Movie Face database (IMFDB) Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. 3. We refer to this combined dataset as the IISCIFD. No. , Latino) are significantly underrepresented. It provides high-resolution, standardized photographs of male and female faces of varying ethnicity between the ages of 17-65. Part 1 - Still Images The dataset contains 367,888 face annotations for 8,277 subjects divided into 3 batches. Problem Statement : Classifying faces of Indian film actors/actresses according to their age. Our dataset contains 108,501 facial images collected primarily from the YFCC-100M Flickr dataset [59], which can be freely shared for a research pur-pose, and also includes examples from other sources such Article 14 of the Constitution of India is a fundamental right that guarantees equality before the law and equal protection of the laws within the territory of India. CLF contains 3. It supports several machine learning based applications, Dataset Card for FairFace Dataset Summary FairFace is a face image dataset which is race balanced. , human face seem The VGG Face dataset has over 2. More detials are in paper "An Asian Face Dataset and How Race A medium sized, high quality, manually curated and robust dataset of consistent images containing faces of Indian Celebrities titled: INDIAN-CELEBNET is presented and the ability and copiousness of the dataset are demonstrated to allow the research of new architectures for deep generative networks. (µ/ý X 0 ªÊV„E0GDÛ ÀÀÀÀÀ. Due to the various factors like illumination, expression, and pose variation etc. and Avik Bhattacharyya and Mitesh M. The proposed dataset was developed at the IoT Cloud Research Laboratory of IIIT-Kottayam – the dataset contains 395 clips of 44 volunteers between 17 to 22 years of age; face expressions were You signed in with another tab or window. Human Generator. @inproceedings{kakwani2020indicnlpsuite, title={{IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages}}, author={Divyanshu Kakwani and Anoop Kunchukuttan and Satish Golla and Gokul N. The collecting scenes includes indoor and outdoor scenes. 3 millions face images, with an average of about 362 samples per subject (minimum 87 images per subject). IIITM face data were provided by ABV IIITM Gwalior, India, in 2019 which consists of different emotions of Indian faces in different vertical orientations. The right to file a review is not an inherent right but granted under specific statutes. The emergence of deepfakes in the modern era has seriously threatened the authenticity of online content. , extended Indian Child Longitudinal Face Dataset) that contains $26,258$ face images of $7,473$ subjects in the age group of $[2 Indian Movie Face database (IMFDB) is a large unconstrained face database consisting of 34512 images of 100 Indian actors collected from more than 100 videos. Dataset. Bollywood celeb localized face dataset (extended) Bollywood celeb localized face dataset (extended) Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. including White, Black, East-Asian, Middle-east Asian, Indian, and Hispanic Latino. It contains 108,501 images from 7 different race groups: White, Black, Indian, East Asian, Southeast Asian, Middle Eastern, and Latino. report comes as the government is asking the Reserve Bank to lower the minimum capital The dataset is race biased to Indian faces. Further, we propose a baseline model for word recognition from sign Get the dataset here. The full dataset viewer is not available (click to read why). There are 19,906 images with To mitigate the race bias in the existing face datasets, we propose a novel face dataset with an emphasis of balanced race composition. With just a few clicks, generate lifelike faces to suit your needs. 5k faces for about 1. Something went wrong and this page crashed! If the FFHQ-Text is a small-scale face image dataset with large-scale facial attributes, designed for text-to-face generation&manipulation, text-guided facial image manipulation, and other vision-related tasks. Kane contribute to Indian historical understanding? Face recognition with age variation is a challenging task for researchers. portrait images, groups of people, etc. The court cases in our dataset range from 1950 to 2019, and belong to all legal domains, such as Civil, Criminal, Constitutional, and so on. It also includes gender labels and consists of 62% males and 38% females. It was introduced in our paper DigiFace-1M: 1 Million Digital Face Images for Face Recognition and can be used to train deep learning models indian-law-dataset. We have also benchmarked the performance of existing face recognition models on the proposed IMFW dataset. ). He will practically demonstrate the process of training a LLM using . zip using unzipping software like 7zip. Free for academic research. org. The face recognition scheme based on deep learning can give the best face recognition performance at present, but this To mitigate the race bias in the existing face datasets, we propose a novel face dataset with an emphasis on balanced race composition. The dataset comprises of NLP-specific tasks (including SignVideo2Text, SignPose2Text, Text2Pose, Word Prediction, and Sign Semantics). The purpose of this dataset is to train faces for better Prediction, Gender, Age and Emotion of Indians. Correll, & Ma (2020). Experimental results demonstrate the cropped indian actor faces for face recognition tasks cropped indian actor faces for face recognition tasks. 20k+ cropped face images with age, gender and ethnicity. A dataset containing kids' rating of random face cards on a scale of 1-5 according to their inclination to befriend the person on the card. The outer shell of human face may seem different in multiple occasions due to its flexibility and three dimensional formation. Indian, also over 46 0K im ages and 10K subj ects of White. This dataset contains a collection of question-answer pairs on the subject of Indian Polity. io/7a5fs/ under a CC license 32. Dataset Conll2003 dataset. 03495, 2023. 1. Models; Datasets; Spaces; Posts; Docs; Solutions Datasets. The aim of this research is to overcome the chal-lenges of unconstrained masked face recognition in the Indian con-text Citizenship at the commencement of the Constitution At the commencement of this Constitution every person who has his domicile in the territory of India and (a) who was born in the territory of India; or (b) either of whose parents was born in the territory of India; or (c) who has been ordinarily resident in the territory of India for not less than five years preceding such Indian scholars, influenced by nationalist ideals, reconstructed Indian history to showcase the true glory of Indian culture, challenging British perspectives and emphasizing India's rich heritage. Dataset card Viewer Files Files and versions Community 1 Subset (1) default · 24. The National Data and Analytics Platform (NDAP) facilitates and improves access to Indian government data. This is because FER has many potential fields such as: e-learning, e-commerce, neuromarketing and healthcare 4. Initial dataset commit. Contribute to Ln11211/indian-movie-faces-datasetimfdb-face-recognition by creating an account on DagsHub. Face recognition has achieved outstanding performance in the last decade To the best of our knowledge, AFD is the largest Asian face dataset proposed so far. Table 1 tabulates some typical face datasets, where most datasets mainly contain Western human facial images. Khapra and Pratyush Kumar}, year={2020}, booktitle indian-law-dataset. The corpus has a large vocabulary of around 4700 words covering different topics and domains. To mitigate the race bias problem in these datasets, we constructed a The Classification of 105 Celebrities with Face-Recognition using Tensorflow-Framework - Srikeshram/Celebrity-Face-Recognition. arXiv preprint arXiv:2308. Mere disagreement with the decision is not adequate grounds for review. Experimental results demonstrate the As a result, various techniques cannot be evaluated on Indian faces. Experience the simplicity and Collection of 5. Something went wrong and this page crashed! If the We use two other datasets -Indian Movie Face database (IMFDB) (Setty et al. To mitigate the race bias in the existing face datasets, we propose a novel face dataset with an emphasis of balanced race composition. It contains over 13,000 images of close to In this work, we present InFER, a real-world multi-ethnic Indian Facial Expression Recognition dataset consisting of 10,200 images and 4,200 short videos of seven basic facial expressions. WIDER FACE dataset is organized based on 61 event classes. Indian Movie Face database (IMFDB) is a large unconstrained face database consisting of34512images of100Indian actors collected from more than 100 videos. Something went wrong and this page crashed! Citation . focus on Indian ethnicity and use Indian datasets such as Indian Face Dataset (IFD), Bangalore Face Dataset, IIIT-CFW (Indian Institute of Information Technology - Celebrity Faces in the Wild) and IIT-Kanpur Indian Face Dataset. [14] proposed the Indian Masked Faces in the Wild (IMFW) dataset, containing masked faces of Indian people. Some of the samples of In this research, we emulate the real-world scenario of deepfake generation and spreading, and propose the DF-Platter dataset, which contains (i) both low-resolution and high-resolution deepfakes generated using multiple generation techniques and (ii) single-subject and multiple-subject deepfakes, with face images of Indian ethnicity. Dataset Card for Indian Polity Question-Answer Dataset. Abstract To test face recognition algorithm developed by researchers, it is needed to have proper database. All Data Models Notebooks DVC Git . For instance, Masked-FaceNet is a dataset with faces from the FFHQ dataset wearing masks correctly and UMDFaces is a face dataset divided into two parts: Still Images - 367,888 face annotations for 8,277 subjects. AI-generated faces in real time. 6–4. Dataset card Viewer Files Files and versions Community Dataset Viewer. 0 million raw images. A web scraped dataset of human faces suggested for image processing models. All the clips are manually splitted from the video recorded during stimulent clips are watched India is a large country with huge diversity in skin tone and attire of the people. Hugging Face link to get/download the iSign dataset. In this paper, we propose a diverse India-specific real- with diverse ethnicity, age group, and gender exhibit world - in the wild facial expression dataset - facial expressions differently; the absence of ethniIn- A novel Dual Sensor Indian Masked Face (DS- IMF) dataset is proposed, which contains images captured in constrained environmental settings with a variety of masks and degrees of occlusion, which demonstrates the limitations of existing algorithms on low-resolution masked face images. Learn more. Images are downloaded from Google Image Search and have large variations in pose, age, illumination, ethnicity and profession (e. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. A comprehensive study of the available 2D face databases is presented and the creation of a visual face database, North-East Indian (NEI) Face Database, which is under development in the Biometrics Laboratory of Tripura University, India is introduced. Subjective Norms. Description: The Dataset consists of the multimodal facial images of 52 people (14 India is a large country with huge diversity in skin tone and attire of the people. Researchers are developing robust algorithms efficient for automatic face detection, recognition and expression analysis, even in the presence of the difficulties caused by source of illumination, incidental angle of illumination, facial expression, head orientation Dataset Summary Existing public face datasets are strongly biased toward Caucasian faces, and other races (e. In total, 107 participants participated in the experiment, of which 87 were male and 20 were female. This To test the proposed algorithm, we conduct experiments of image reconstruction and recognition on two face databases, a handwritten character database and a palmprint database. The dataset urls and features will be made publicly available. The dataset consists of over 20,000 face images with annotations of age, gender, and ethnicity. Initially, a live video of Indian college students is given as input to Haar classifier which traces out the faces from it. V. , 2015) and UTK Face Dataset (Song and Zhang), having samples of different ethnic origins, have been considered. Our dataset contains 108,501 facial images collected primarily from the YFCC-100M Flickr dataset [], which can be freely shared for a research purpose, and also includes examples from other sources such as Twitter and online In this paper, we present a novel \textbf{Indian Masked Faces in the Wild (IMFW)} dataset which contains images with variations in pose, illumination, resolution, and the variety of masks worn by the subjects. Hyperparameter optimization is performed to optimize the model 23 Pairs of Identical Twins Face Image Data. All the images aremanuallyselected and cropped from the video frames resulting in a high degree of variability interms of scale, pose, expression, illumination, age Indian Actor Image Archive: 6750 Portraits Across 135 Categories. Author links open overlay panel Ashwin T. Create your own - Celeb face recognition system. By processing text through the NLP pipeline, POS taggers give ‘pos_tags ’and Chunkers give 'chunk_tags'. 1 The Indian spontaneous expression database (ISED) ISED is a single-modality video dataset of Indian-natural face expressions. like 2. Khapra and Pratyush Kumar}, year={2020}, booktitle Citation . www. dvc. S fans, etc. Faces are detected and cropped manually from a large collection of The model is a Convolutional Neural Network (CNN) trained on a dataset of Indian faces. cfd-india The CFD-INDIA extension set includes images of 142 unique individuals, recruited in Delhi, India. Flexible Data Ingestion. zip If on windows platfrom unzip extract. Multi-pose and Multi-expression Face Data (Link) This dataset has 102,476 images of 1,507 Asians (762 males, 745 females). Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. The aim is to provide comprehensive answers For building the pre-training corpus of Indian legal text, we collected a large corpus of case documents from the Indian Supreme Court and many High Courts of India. 183 Commits. BU-4DFE Database (Dynamic Data) Images of people showing eight different emotions, face dataset. Google Facial Expression Comparison Dataset. government has already used up over 95 per cent of the deficit target or the market borrowings. zip Download the perfect indian face pictures. On the extension, these images are To find out whether your photo is included in the Flickr-Faces-HQ dataset, please click this link to search the dataset with your Flickr username. All the images have been scraped from Google and contains no duplicate images. All the credits of dataset goes to them. LoKRs are specific kind of LoRAs that use some fancy math to keep their size very small (This is just 7MB, compared to 200-700MB sized LoRAs!) Looking to create realistic faces effortlessly? Try our AI Face Generator! Perfect for avatars, digital art, or any creative work. The dataset helps in specifying which two faces in each triplet form the most similar pair in terms of facial expression. of images 882 449 975 6837 867 The Indian Movie Face database (IMFDB) is a big collection of face images from 100 Indian actors. Hence, in this paper, we propose a gender and age annotated Indian video dataset that we have collected using an online Web application build by the research team. ijettjournal. Gathering face and voice data together is also a very time-consuming and expensive task. 1 value. government will have to take a bulk of the tab due to weak market valuations, report says. We obtained fine-grained geographical-origin classification performance from total Similar MAE were observed in all age groups of the train face dataset (Table 2). Human emotion recognition is an imperative step to handle human computer interactions. Further, we manually cropped only the face part for posed expressions and created a separate face dataset, so that it can be utilized for verification and We took on the challenge of creating our own custom dataset that resembled the CelebA dataset to cater to the needs of wanting to have Indian features for our dataset. 5 10^(-6) meters. The images depict models with neutral facial expressions. On Linux machine : unzip extract. Content The dataset consists of 599 images belonging to 8 categories, namely manipuri, bharatanatyam, odissi, kathakali, kathak, sattriya, kuchipudi, and mohiniyattam. There face dataset collected from the internet. 7. The proposed dataset was developed at the IoT Cloud Research Laboratory of IIIT-Kottayam – the dataset contains 395 clips of 44 volunteers between 17 to 22 years of age; face expressions were captured when volunteers were asked to watch a few In this paper, we present a novel Indian Masked Faces in the Wild (IMFW) dataset which contains images with variations in pose, illumination, resolution, and the variety of masks worn by the subjects. et al. In the test dataset of faces, the lowest MAE was observed in the 30–40 years and 40–50 years age groups (Table 1). Contributions include self-reported demographic and symptom information and dermatologist labels. SJB Face dataset is one such Indian face image dataset, which can be used to recognize faces. In this research paper a new face database is proposed. Indian Movie Face database (IMFDB) Indian Movie Face database (IMFDB) Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Company XYZ could face legal risks related to data protection and privacy under the Information Technology Act, 2000, and its rules. The proposed data is balanced for African, Asian In this paper facial expression recognition technique has been performed on the Indian faces extracted from a video. Dataset and it's quality plays important role in this domain. It’s been put together with great care to ensure it’s accurate and easy to use. Experience the simplicity and A novel Dual Sensor Indian Masked Face (DS- IMF) dataset is proposed, which contains images captured in constrained environmental settings with a variety of masks and degrees of occlusion, which demonstrates the limitations of existing algorithms on low-resolution masked face images. 6 images for each subject. . published by seventh sense research group. The CFD is intended for use in scientific research. You switched accounts on another tab or window. The dataset has 10,524 human faces of various resolutions and in different settings, e. Hugging Face. ba62109192 Initial dataset commit 1 year ago. presented an Indian dataset named as Indian Spontaneous Expression Dataset (ISED) – ISED bestowed lots of emphasis on the spontaneity of emotions; it contained near frontal face clips of recorded videos of 50 participants (29 male, 21 female) when exposed to stimulant videos; ISED utilized clips rather than a In this DataHour, Aashay will explain how to train your own Large Language Models(LLM). Researchers are developing robust algorithms efficient for automatic face detection, recognition and expression analysis, even in the presence of the difficulties caused by source of illumination, incidental angle of illumination, facial expression, head orientation VGGFace2 Dataset for Face Recognition The dataset contains 3. 7 million annotated video frames from over 22,000 videos of 3100 subjects. pandas. Because of the pandemic, there is a number of datasets and tools to add masks to face images. Repository Structure This Repository contains the notebook used for building the Age model, the Gender model and the notebook used for testing thier performance. 7 million faces, 59k identities, which is manually cleaned from 2. There are 19,906 images with Indian Movie Face Database: A Benchmark for Face Recognition Under Wide Variations Shankar Setty, Moula Husain, Parisa Beham, Jyothi Gudavalli, Menaka Kandasamy, Radhesyam Vaddi, Vidyagouri Hemadri, J C Karure, Raja Raju, B Rajan, Vijay Kumar and C V Jawahar Abstract—Recognizing human faces in the wild is emerging as a critically important, and Download scientific diagram | Example faces from IMFDB of the Indian actor Amitabh Bachchan collected from different movies. It takes an input image of size 150x150 pixels and outputs a binary classification (Male/Female) with a confidence score. 5k identities [8]. New. Another dataset Children Longitudinal Face (CLF) was developed to cover a different children’s age group for face recognition. Download the dataset from the kaggle link given below the description and split it into the training set and and validation set based on the given ratio. This dataset will contain only faces of Indian celebrities. The Extended Cohn-Kanade Dataset (CK+) [25] is an extension of [13] which includes posed expressions The DigiFace-1M dataset is a collection of over one million diverse synthetic face images for face recognition. These cards had distinguishing feature sets like old names & new names, gender and hobby type. The model evaluated using K-Fold Validation and confusion matrix methods. Specific features of Indian faces (Singh et al. Looking to create realistic faces effortlessly? Try our AI Face Generator! Perfect for avatars, digital art, or any creative work. g. As a result, the performance of state-of-the-art techniques can't be evaluated on Indian faces. 4k images sorted into Male and Female faces. The IIITM Face dataset includes 107 participants, who show 6 facial emotions in 3 different face orientations. The dataset contains 428 video clips of 50 healthy volunteers, including 29 men and 21 women, who are between the ages of 18 and 22 and come from various parts of India. Quick, easy, and incredibly detailed. Auto-converted to Parquet source string classes. In this case, Balanced face dataset: Guiding stylegan to generate labeled synthetic face image dataset for underrepresented group. LS3D-W is a large-scale 3D face alignment dataset constructed by annotating the images from AFLW[2], 300VW[3], 300W[4] and FDDB[5] in a consistent manner with 68 points using the automatic method. It states, 'The State shall not deny to any person equality before the law or the equal protection of the laws within the territory of India. Supplementary Material. 1 Datasets employed 4. THE CONSTITUTION OF INDIA [As on 26th November, 2021] PREFACE This is the fifth pocket size The earliest dataset on Indian faces is the In-dian Face Dataset [Jain and Mukherjee 2002]. The Supplementary Material for this article can be found online at: Face Research Lab London Set. Experiments on FERET dataset show that LWHT outperforms Local Binary Patterns (LBP In this paper, we propose a new dataset that reveals the human emotions that are specific to India. The Current work aims at delivering a dataset for training and testing purposes. Use the Edit dataset card button to edit it. 6 million images of 2,622 people for face identity recognition. Images of people showing eight different emotions, face dataset. This scene is a subset of a larger one. Thus, there is large variation in Indian Face Database/ 2002 -/40 Ex/Po 4/11 640 × 480 visual, gray USTC-NVIE Database/ 2011 -/215 Ex/Il/Gl 6/3/yes 768 × 567 visual, thermal, color We use two other datasets -Indian Movie Face database (IMFDB) (Setty et al. To address the challenges due to masks in the Indian context, we propose a novel Dual Sensor Indian Masked Face (DS- IMF) dataset, which contains images captured in constrained environmental settings with a variety of masks and degrees of occlusion. md exists but content is empty. For building the pre-training corpus of Indian legal text, we collected a large corpus of case documents from the Indian Supreme Court and many High Courts of India. In this paper, we propose a diverse India-specific real- with diverse ethnicity, age group, and gender exhibit world - in the wild facial expression dataset - facial expressions differently; the absence of ethniIn- We report them here in order to document the steps we took to capture the physical attributes of the India face set. , 2002) to fine-tune BiomedGPT base for age prediction. Google Facial Expression Comparison Dataset is a large-scale facial expression dataset that consists of face image triplets along with human annotations. The CFD-INDIA extension set includes images of 142 unique individuals, recruited in Delhi, India. face, which was pre-traine d on a large face dataset of 2. All images are obtained from the IMDb website. We’ve left out the number “0” to avoid any confusion with American Sign Language (ASL), which uses the same sign. README. It contains 11 images. [Google Scholar] Human emotion recognition is of par importance for human computer interaction. Face masks occlude a significant portion The study exploited no-mask longitudinal child face dataset (i. e7474170ecfd-0. Reload to refresh your session. To get your photo removed from the Flickr-Faces-HQ dataset: Go to Flickr and do one of the following: Tag the photo with no_cv to indicate that you do not wish it to be used for computer vision research. #" GèÌ Õÿß®þv©±Ý&Ý&Ð1ÏÆ o€*~»E L » ¿ ’ÐÊîîþn uÌT¹7— X¼ ïV÷¤“O:J’ÑI2: ~ ]ô¨s”ô¤—žä°(>üùdüèQÊ>yé×waµ4>(ëW u i: 0 & Mðg|o$ÿ ÅqÞ\–»v sß7 ËÈð`m÷ v{ Ö°N¥ ŠH mSÚñ di Ö> M0¼ &U†& ¶y×6å°æ¸£åÌqv 4éÙâ¸oš¼q0†m šðŒYÖîÚî½£ñè*"ùŸU>ZÿJûdu œOš m|rº(E Ê This dataset can be used for Face Recognition, it has faces of 100 indian actors. For 305 open source face images. One class was created with all diseased leaves images and the other was created with healthy features related to eye gaze [26], facial landmarks [2] and face pose. The proposed VMER dataset is composed by images collected from the original VGGFace2 [], which is so far the largest face dataset in the world including more than 3. ; You agree not to further copy, publish or distribute any portion of the CelebA-Spoof dataset. In other wordsFIR is only a complaint to set the affairs of law and order in motion and it is only at the investigation stage that all For Indian Face Database, highest recognition rate obtained by KFCG-VQ algorithm is at codebook size 128x12. ; You agree not to reproduce, duplicate, copy, sell, trade, resell or exploit for any commercial purposes, any portion of the images and any portion of derived data. In this work, we introduce a new dataset, IIITM Face, for the scientific community The dataset exclusively includes Indian faces from the student population at the Indian Institute of Technology Jodhpur, covering a diverse age range from 18 to 23 years. All the images are manually selected and cropped from the video frames resulting in a high degree of variability interms of scale, pose, expression, illumination, age, resolution, occlusion, and makeup. face-indian dataset by Face2 We propose the Indian Classroom Face Dataset (ICFD) which consists of images of 84 subjects captured in both controlled laboratory (for training) and unconstrained classroom settings (for probes), to explore the challenges present in performing face recognition in unconstrained classroom settings @inproceedings{kakwani2020indicnlpsuite, title={{IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages}}, author={Divyanshu Kakwani and Anoop Kunchukuttan and Satish Golla and Gokul N. IMDb-Face is large-scale noise-controlled dataset for face recognition research. Our dataset contains 108,501 facial images collected primarily from the YFCC-100M Flickr dataset [59], which can be freely shared for a research pur-pose, and also includes examples from other sources such challenges in the IMFW dataset, and results of existing face recog-nition algorithms on the IMFW dataset. Experimental results The dataset used to train and test the networks is an existing dataset called Bosphorus 3D Face Dataset. The rows from top to bottom include the images having effect of AR Filters, Mirrored Reflections, Blurred Images, Partial Faces We’re on a journey to advance and democratize artificial intelligence through open source and open science. Figshare. Both ‘pos_tags ’and ‘chunk_tags ’are features. Version 2: Faces dataset for regression added. We present DIF (Dataset of Intoxicated Faces) for drunk person identification. It contains 11 images of 40 different people containing pose and emotion attributes. Also it includes few images with occlusion viz. The annotations contain human curated bounding boxes for We also present a development dataset (separated into train and test parts) for adapting face recognition models for face images of children. 2. Affective database for e-learning and classroom environments using Indian students’ faces, hand gestures and body postures. The IIITM Face dataset includes 107 CFD-INDIA. The face dataset collected has certain conditions such as different pose, Expressions, face The Indian face database is designed to provide a standardized emotional face database of Indian models from northern regions of India. Faces in Discover high-resolution human face datasets for face recognition, detection, and segmentation models’ training. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Ma, Joshua Correll, and Bernd Wittenbrink. A simple semi-automatic approach to collect face images from Internet and build a large-scale Asian face dataset (AFD) containing 2019 subjects and 360,000 images is proposed, which is the largest Asian face image dataset proposed so far. face-indian dataset by Face2 A novel Indian Masked Faces in the Wild (IMFW) dataset which contains images with variations in pose, illumination, resolution, and the variety of masks worn by the subjects is presented and the performance of existing face recognition models are benchmarked. The face dataset is free and available at https://osf. Contribute to jian667/face-dataset development by creating an account on GitHub. IIITM Face Dataset. ISSN:2231-5381. billion people. 3 DATASET COLLECTION Our work consists of collection, processing and analysis of a new dataset of drunk and sober face videos. - google-research-datasets/scin Images of people showing eight different emotions, face dataset. The aim of this research is to overcome the chal-lenges of unconstrained masked face recognition in the Indian con-text The IIT Bombay English-Hindi corpus contains parallel corpus for English-Hindi as well as monolingual Hindi corpus collected from a variety of existing sources and corpora developed at the Center for Indian Language Technology, IIT Bombay over WIDER FACE dataset is a face detection benchmark dataset, of which images are selected from the publicly available WIDER dataset. Experimental results demonstrate the Generative Modeling is a technique which is highly essential for tackling these areas of problems. fied requirements of the Indian subcontinent, a home to more than 1. Through the platform, data sets from across India's extensive administrative landscape can be accessed. Delete zip file : rm extract. Predict the age facial attributes (classification and Regression) This work introduces a new dataset IIITM Face for scientific community to address the challenges of face attribute detection specifically in the Indian context and benchmarked across key multi-label metrics for the research community to compare their results. In this proposed IFAD there is large variation of age characteristic of a subject The LWF is a dataset with 8. 4–2. At present, only Oscar [30] has proposed a public face dataset in a classroom To address this gap, in this paper, we introduce a new dataset CISLR (Corpus for Indian Sign Language Recognition) for word-level recognition in Indian Sign Language using videos. A fraction of faces also contained self-reported age (n = 459), height (n = 218), and weight (n = 253). In each row, the dataset that appears to have the worst performance is highlighted in bold. We took on the challenge of creating our own custom dataset that resembled the CelebA dataset to cater to the needs of wanting to have Indian features for our dataset. jwzvp mlzaoa blnt uuiey vlhjdy rties ddlwot paruwa sihg xlnpjcj