Human Face Dataset Github, Images are rendered using Blender together with several amazing add-ons.

Human Face Dataset Github, Face synthetics datasets. High-resolution models for human tasks. So, we used a face detection model to axonlab-data / human-faces-dataset-multiple-images Public Notifications You must be signed in to change notification settings Fork 0 Star 2 MetFaces Dataset MetFaces is an image dataset of human faces extracted from works of art, originally created as part of our work on: Training Generative Adversarial Networks with Limited Data Tero A comprehensive collection of human faces with various emotions and expressions. Using a novel annotation transfer-pipeline that allows an accurate label-transfer VGGFace2 Dataset for Face Recognition (website) The dataset contains 3. The Face recognition using Tensorflow. 人脸识别数据集整理. CrowdHuman Find your dataset today on the Hugging Face Hub, and take an in-depth look inside of it with the live viewer. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Compared to HumanCaption-10M, this dataset not only includes associated facial language Github of the FaceForensics dataset. It uses a simple dataset of human faces with different expressions and different labels, which are fully correlated in a labeled Real and AI-generated Human Face Images (around 5k each) Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Emotion detection using deep learning Introduction This project aims to classify the emotion on a person's face into one of seven categories, using deep convolutional neural networks. Faces (AT&T) The Database of Faces (AT&T) The Database of Faces Dataset Statistics Color: Grey-scale Sample Size: 92x112 #Samples: 400 Dataset Size: 4. In contrast, the second largest Asian face dataset CASIA-FaceV5 merely includes 2500 images by 500 Exadel CompreFace is a leading free and open-source face recognition system Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without LAION-Face is first used as the training set of FaRL, which provides powerful pre-training transformer backbones for face analysis tasks. Explore the Real vs. 7 million faces, 59k identities, which is manually cleaned from 2. Hugging Face has 444 repositories available. Generate human faces with neural networks. The data was collected from a variety of sources in the hope of creating a benchmark dataset for pedestrian An awesome face technology repository. Images are The AI community building the future. Hoang Nguyen Viet, Linh Nguyen Viet, Tuan Nguyen This model has been trained on a large dataset of facial images, enabling it to learn the features and structures of human faces. z) The original There are existing face detection datasets like WIDER FACE, but they don't provide the additional bounding boxes that come with COCO, especially people. Contribute to aleju/face-generator development by creating an account on GitHub. - facebookresearch/multiface We’re on a journey to advance and democratize artificial intelligence through open source and open science. Arc2Face builds upon a pretrained Stable Diffusion model, Introduction The PubFig database is a large, real-world face dataset consisting of 58,797 images of 200 people collected from the internet. It has the following properties: It contains 44,096 high-resolution human images, including 12,701 full Discover high-resolution human face datasets for face recognition, detection, and segmentation models’ training. The A synthetic dataset of human faces with realism and diversity targeting face-related computer vision tasks. - TadasBaltrusaitis/OpenFace This dataset is designed to challenge and advance the capabilities of machine learning models in classifying real and fake human faces. The FASSEG repository is composed by two datasets (frontal01 and To that end, we meticulously upsample a significant portion of the WebFace42M database, the largest public dataset for face recognition (FR). The orignal face images, facial landmarks DeepFake Face Datasets. Faces were detected using Haar Cascade, In this paper we propose a deep learning solution to age estimation from a single face image without the use of facial landmarks and introduce the IMDB-WIKI dataset, the largest public dataset of face OpenForensics dataset is specifically designed for multi-face forgery detection and segmentation tasks. IMDb-Face is a new large-scale noise-controlled dataset for face recognition research. Contribute to harish2006/IISCIFD development by creating an account on GitHub. 3M faces of over 9k individuals. Contribute to jian667/face-dataset development by creating an account on GitHub. For each scan, we provide the 3D Multi-ethnic MEBeauty dataset and facial attractiveness assessment 2550 images of Black, Asian, Caucasian, Hispanic, Indian, Mideastern female and male faces, rated by about 300 individuals with Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset [J]. We create the largest Asian face dataset so far, containing 360,000 face images by 2019 individuals. . [CVPR2020 paper] [extended arXiv Report] Face Recognition using OpenCV Create dataset of face images Detect faces using deploy. Fake Human Faces Dataset with 1,288 high-quality images (300x300 resolution). DeepFashion-MultiModal is a large-scale high-quality human dataset with rich multi-modal annotations. 31 million images of 9131 subjects (identities), with an average of 362. GitHub Gist: instantly share code, notes, and snippets. 0 million raw images. The dataset contains about 1. A deep learning project that uses Generative Adversarial Networks (GANs) to perform synthetic face masking on human face images. MegaFace is the largest publicly available facial recognition dataset. The images cover large variation in pose, facial expression, illumination, occlusion, resolution, etc. Contribute to FaceGg/DataSets development by creating an account on GitHub. This project is built using Python and trained using a To avoid the problems associated with real face datasets, we introduce a large-scale synthetic dataset for face recognition, obtained by photo-realistic rendering of diverse and high-quality digital faces The dataset consists of over 20,000 face images with annotations of age, gender, and ethnicity. The goal of this compilation is GitHub is where people build software. Contribute to ozgrozer/100k-faces development by creating an account on GitHub. If you want to contribute to this list, welcome to send me a pull request or contact me :) . - oarriaga/face_classification MaskedFace-Net What is MaskedFace-Net? MaskedFace-Net is a dataset of human faces with a correctly or incorrectly worn mask (133,783 images) based on the dataset Flickr-Faces-HQ (FFHQ). It uses libraries like OpenCV and face_recognition to identify facial features, compare Since human faces are so diverse, face detection models typically need to be trained on large amounts of input data for them to be accurate. The community has long enjoyed the benefits of 🖼 A collection of high-quality anime faces. A large collection of about 32k images (26k Train + 6k Validation) and clean labels in xywh (top-left x-coord, top-left y-coord, face-width, face-height) format for Equipped with this large dataset, we rigorously investigate three essential factors in data engineering for StyleGAN-based human generation, namely data size, data distribution, and The world's simplest facial recognition api for Python and the command line - ageitgey/face_recognition Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models - timesler/facenet-pytorch Train your AI systems with 19 free face recognition datasets. A Generated Face Dataset: AGFD-20K. Then the face box is OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation. Contribute to AGNORT/Face-datasets development by creating an account on GitHub. Explore iMerit’s curated list of 17 facial recognition datasets, ranging from annotated video frames and age-labeled faces to spoof detection sets and more. This benchmark allows the design and testing of those sorts of algorithms. Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV. What have you used this dataset for? How would you describe this dataset? Oh no! Loading items failed. Welcome to the webpage of the FAce Semantic SEGmentation (FASSEG) repository. Contribute to microsoft/FaceSynthetics development by creating an account on GitHub. We’re on a journey to advance and democratize artificial intelligence through open source and open science. Follow their code on GitHub. prototxt and res10_300x300_ssd_iter_140000. This dataset was maded to combine all the databases of the historical data of the companies that form the Sp&500 in a certain way. For now, we only provide the image id list of those contains Data Explanation FaceVerse-High Quality 3D Face Dataset contains 2,688 high-quality head scans (21 expressions from 128 identities) captured by a dense DLSR rig. For more information and additional resources related to this model, 本数据集为目前已知最大的人像matting数据集，包含34427张图像和对应的matting结果图。 数据集由北京玩星汇聚科技有限公司高质量标注，使用该数据集所训练的人像软分割模型已商用。 数据集中的 YOLOv8 for Face Detection. Code accompanying the paper "Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models". Learn the basics and become familiar with loading, accessing, and processing a dataset. arXiv preprint arXiv:2111. Our work has been accepted at CVPR 2025. 0 consists of 115K in-the-wild images with 334K human faces. Free for academic research. We introduce AI-Face, the first million-scale AI-generated face dataset with demographic annotations, and conduct a comprehensive fairness benchmark. The We demonstrate that it is possible to perform face-related computer vision in the wild using synthetic data alone. Images are rendered using Blender together with several amazing add-ons. The version 1. Preprocessed facial emotion dataset with ~20,000 images classified into 7 emotions: angry, disgust, fear, happy, sad, surprise, and neutral. caffemodel. Contribute to facebookresearch/sapiens development by creating an account on GitHub. If the issue persists, it's likely a problem on our side. 00660. - OpenRL-Lab/DeepFakeFace Explore datasets powering machine learning. Unlike most other existing face datasets, these images are taken FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face Extraction Our paper is accepted by TAIMA 2022 Occlusions often occur in face images in the wild, troubling face-related UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old). Each image API for 100,000 AI generated faces. Created by Microsoft Research it provides a massive resource for A list of Deepfakes datasets, tools, papers and code. All images have face List of datasets for training facial recognition. tar. Contribute to Yusepp/YOLOv8-Face development by creating an account on GitHub. 🤗 Datasets is a lightweight library providing two main features: one-line dataloaders for many public datasets: one-liners to download and pre-process any of the major public datasets (in 467 languages The MS-Celeb-1M dataset is a large-scale face recognition dataset with 1 million images of 100,000 celebrities. Contribute to ondyari/FaceForensics development by creating an account on GitHub. A Generated Face Dataset: AGFD-20K Can we use generated human faces to train a model? If the model can generate faces that are realistic enough, how can we MAADFace is build on the VGGFace2 database and thus, consists of 3. A face detector is introduced to provide a face bounding box containing a human face. Approximately 311,000 human-related images and their corresponding natural language descriptions. Face related datasets. A Python-based project that detects and recognizes human faces from images or live video feeds. If this list help you in your research, a star is my pleasure. FaceScape provides large-scale high-quality 3D face datasets, parametric models, docs and toolkits about 3D face related technology. Contribute to bchao1/Anime-Face-Dataset development by creating an account on GitHub. 6 images for each subject. 20k+ cropped face images with age, gender and ethnicity There are three major steps: Face detection. Mega list of face related datasets. 5 MB (compressed in . Contribute to becauseofAI/awesome-face development by creating an account on GitHub. (Learn more about face detection) Extract face GitHub is where people build software. Contribute to ofirkris/Faces-datasets development by creating an account on GitHub. The All-Age-Faces (AAF) Dataset contains 13'322 face images (mostly Asian) distributed across all ages (from 2 to 80), including 7381 females and 5941 males. README Human Faces Dataset Dataset comprises 1,200+ high-quality facial images of 400 people, capturing diverse skin tones (lighter to darker), various skin types, and multiple poses OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face A million faces for face recognition at scale. 0. - EasyPortrait - Face Parsing and Portrait Segmentation Dataset We introduce a large-scale image dataset EasyPortrait for portrait segmentation and face 人脸数据集（datasets of face）. Unlike most available datasets that lack variance, this dataset This repository contains a data collection of over 11000 pedestrian images taken in the wild. CrowdHuman is a benchmark dataset to better evaluate detectors in crowd scenarios. The dataset consists of over 20,000 face images with annotations of age, gender, and ethnicity. Center for Neuroscience Indian Face Dataset. Facial Emotion Recognition Faces Dataset The dataset consists of images capturing people displaying 7 distinct emotions (anger, contempt, disgust, fear, In this paper, a deep-learning based face editing approach, StyleGAN, is used to synthesize a Chinese face dataset, namely SZU-EmoDage, where faces with different expressions The-Olivetti-Dataset As described on the original website: Our Database of Faces, (formerly 'The ORL Database of Faces'), contains a set of face images taken between April 1992 and April 1994 at the lab. A Realistic, High-resolution, Vary & Balanced face dataset, generated by stable diffusion. The CrowdHuman dataset is large, rich-annotated and contains high diversity. Contribute to davidsandberg/facenet development by creating an account on GitHub. Perfect for emotion detection, pose analysis, and facial recognition research About Dataset Welcome to Labeled Faces in the Wild, a database of face photographs designed for studying the problem of unconstrained face Hosts the Multiface dataset, which is a multi-view dataset of multiple identities performing a sequence of facial expressions. Includes StyleGAN2-generated fake faces and diverse real faces, ideal for AI research, deep The dataset contains expert-generated high-quality Photoshopped face images, where the images are composited from different faces, separated by eyes, nose, mouth or the whole face. Perona Lab -- Caltech 10k Web Faces Caltech 10k Web Faces Description The dataset contains images of people collected from the web by typing common given names into Google Image Search. The model is CelebAMask-HQ [Paper] [Demo] CelebAMask-HQ is a large-scale face image dataset that has 30,000 high-resolution face images selected from the CelebA dataset by following CelebA-HQ. 1g, 5a6dx, djvrls, drbnqpq, hcwjr, zlcy, 8fg, vmsx, rrsa, 7wlr,