Faces Through Time (FTT) features 26,247 images of notable people from the 19th to 21st centuries, with roughly 1,900 images per decade on average.
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We construct the ForgeryNet dataset, an extremely large face forgery dataset with unified annotations in image- and video-level data across four tasks: 1) Image Forgery Classification, including two-way ForgeryNet is by far the largest publicly available deep face forgery dataset in terms of data-scale (2.9 million images, 221,247 videos), manipulations (7 image-level approaches, 8 video-level approaches We perform extensive benchmarking and studies of existing face forensics methods and obtain several valuable observations.
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…Source: Conversation with Bing, 3/18/2024 (1) PolyAI/minds14 · Datasets at Hugging Face. https://huggingface.co/datasets/PolyAI/minds14. (2) PolyAI/minds14 at main - Hugging Face. https://huggingface.co /datasets/PolyAI/minds14/tree/main. (3) minds14.py · PolyAI/minds14 at main - Hugging Face. https://huggingface.co/datasets/PolyAI/minds14/blob/main/minds14.py.
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…Let's delve into the details: Dataset Information: Repository: The dataset is available on Hugging Face Datasets under the repository alexandrainst/nordjylland-news-summarization ¹. (1) alexandrainst/nordjylland-news-summarization · Datasets at Hugging Face. https://huggingface.co/datasets/alexandrainst/nordjylland-news-summarization. (2) +64 Summarization Datasets - NLP Database ) CNN-DailyMail News Text Summarization | Kaggle. https://www.kaggle.com/datasets/gowrishankarp/newspaper-text-summarization-cnn-dailymail. (4) ScandEval/nordjylland-news-summarization-mini - Hugging Face . https://huggingface.co/datasets/ScandEval/nordjylland-news-summarization-mini/viewer. (5) alexandrainst/nordjylland-news-summarization at main - Hugging Face. https://huggingface.co/datasets/alexandrainst
The ArtiFact dataset is a large-scale image dataset that aims to include a diverse collection of real and synthetic images from multiple categories, including Human/Human Faces, Animal/Animal Faces, Places Number of generators used for fake images: 25 (including 13 GANs, 7 Diffusion, and 5 miscellaneous generators) Number of sources used for real images: 8 Categories included in the dataset: Human/Human Faces , Animal/Animal Faces, Places, Vehicles, Art, and other real-life objects Image Resolution: 200 x 200
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VOCASET is a 4D face dataset with about 29 minutes of 4D scans captured at 60 fps and synchronized audio.
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…The dataset contains both target task labels (action) and selected privacy attributes (skin color, face, gender, nudity, and relationship) annotated on a per-frame basis.
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…The data was recorded from a CCTV camera in Oxford for research and development into activity and face recognition.
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…The annotations also allow this dataset to use for some other tasks, like gender classification and face recognition/verification. For more details, please refer to our FPAge paper.
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Consists of the key scenes from over 3K movies: each key scene is accompanied by a high level semantic description of the scene, character face-tracks, and metadata about the movie.
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…unconstrained or semi-constrained setting with three different mobile devices, including characteristics previously unavailable in existing datasets, namely hand images, thermal hand images, and thermal face
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…The goal of HUMBI is to facilitate modeling view-specific appearance and geometry of gaze, face, hand, body, and garment from assorted people. 107 synchronized HD cameras are used to capture 772 distinctive
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WildDeepfake is a dataset for real-world deepfakes detection which consists of 7,314 face sequences extracted from 707 deepfake videos that are collected completely from the internet.
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…(1) wikiann · Datasets at Hugging Face. https://huggingface.co/datasets/wikiann. (2) wikiann | TensorFlow Datasets. https://tensorflow.google.cn/datasets/catalog/wikiann. (3) wikiann · Datasets at Hugging Face. https://huggingface.co/datasets/wikiann/viewer/en. (4) WikiAnn Dataset | Papers With Code. https://paperswithcode.com/dataset/wikiann-1.
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…It consists of 21832 face images with eyes staring at the camera and 3451 face images with eyes staring somewhere else. All images (256 × 256) are cropped and the eye mask region by dlib is computed.
…Аментес, Илья Лубенец, Никита Давидчук}, title = {Открытая библиотека искусственного интеллекта для анализа и выявления эмоциональных оттенков речи человека}, year = {2022}, publisher = {Hugging Face }, journal = {Hugging Face Hub}, howpublished = {\url{https://huggingface.com/aniemore/Aniemore}}, email = {hello@socialcode.ru} }
…The head poses are very diverse and often hard to be detected by a CNN-based face detector.
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…The horses are mostly unoccluded, taken from approximately the side viewpoint, and face the same direction.
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…It includes face tracks from over 400 hours of TED and TEDx videos, along with the corresponding subtitles and word alignment boundaries.
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…Characteristics: * 230K human-labeled 3D object annotations in 39,179 LiDAR point cloud frames and corresponding frontal-facing RGB images. * Captured at different times (day, night) and weathers (sun,
…UV-texture dataset that contains over 50,000 high-quality texture UV-maps with even illuminations, neutral expressions, and cleaned facial regions, which are desired characteristics for rendering realistic 3D face
…The images inside each zip file are face-only. We provide three convenient sizes: 224 x 224, 512 x 512, and 1024 x 1024 pixels. The participant covers their eyes with a hand, followed by covering the left half, the right half, and finally, the lower half of the face. The participant moves a green cloth in front of their face The participant puts on a face mask and counts from 1 to 10 out loud. Then, they remove the facemask. FSGAN (Face Swapping Generative Adversarial Network): This corresponds to the second version of FSGAN. Access its release at https://github.com/wyhsirius/LIA As a rule of thumb, An imposter outer face and target is the inner face, in case of faceswaps.
…We provide the SMPL-X parameters recovered with EasyMocap, which contain the motions of body, hand, and face.
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…The dataset contains the most complex content for the restoration task: faces, text, QR-codes, car numbers, unpatterned textures, small details.
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The Replay-Attack Database for face spoofing consists of 1300 video clips of photo and video attack attempts to 50 clients, under different lighting conditions.
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…The dataset is released for public use and the methods can be extended to provide explanations on other verification tasks like face verification and bio-medical comparison.
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…It is of interest in video surveillance scenarios where face and body close-shots and hardly available. It consists of 19,000 pedestrian images with 65 attributes (61 binary and 4 multi-class).
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CASIA-MFSD is a dataset for face anti-spoofing. It contains 50 subjects, and 12 videos for each subject under different resolutions and light conditions.
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…We create two datasets satisfying these criteria for near-eye gaze estimation under infrared illumination: a synthetic dataset using anatomically-informed eye and face models with variations in face shape
…(1) GAIR/lima · Datasets at Hugging Face. https://huggingface.co/datasets/GAIR/lima. (2) GAIR/lima at main - Hugging Face. https://huggingface.co/datasets/GAIR/lima/tree/main. (3) 日本語LIMAデータセットlima-ja を作成したので公開します. https://zanote.net/ai/lima-ja/. (4) Paper page - LIMA: Less Is More for Alignment - Hugging Face. https://huggingface.co/papers/2305.11206. (5) undefined. https://huggingface.co/datasets/
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…Image sets of the test subjects contain the front-view and the occlusal surfaces of lower and upper teeth, oral mucosa, and face surrounding the mouth.
…Check the latest leaderboards at HuggingFace.
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The IARPA Janus Benchmark A (IJB-A) database is developed with the aim to augment more challenges to the face recognition task by collecting facial images with a wide variations in pose, illumination,
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…The dataset is well-balanced over a wide range of poses, face expressions, and occlusions.
The Real-world Affective Faces Database (RAF-DB) is a dataset for facial expression. It contains 29672 facial images tagged with basic or compound expressions by 40 independent taggers.
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Florence 4D is a dataset that consists of dynamic sequences of 3D face models, where a combination of synthetic and real identities exhibit an unprecedented variety of 4D facial expressions, with variations
…The dataset was collected using comma EONs that have sensors similar to those of any modern smartphone including a road-facing camera, phone GPS, thermometers and a 9-axis IMU.
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The Sheffield (previously UMIST) Face Database consists of 564 images of 20 individuals (mixed race/gender/appearance).
The REALY benchmark aims to introduce a region-aware evaluation pipeline to measure the fine-grained normalized mean square error (NMSE) of 3D face reconstruction methods from under-controlled image sets
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The 3D Mask Attack Database (3DMAD) is a biometric (face) spoofing database. It currently contains 76500 frames of 17 persons, recorded using Kinect for both real-access and spoofing attacks.
…We made ground-truth bounding boxes of all panels, all characters (body + faces), small or big, human-like or animal-like.
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…Iris is more stable and distinctive compared with fingerprint, face, voice, etc, and difficult to be replicated for spoof attacks. In practical applications, the iris recognition system must face various unpredictable iris image degraded.
This dataset is the image stimulus pool of 50 deepfake and 50 real images, used for the experiment in the study titled "Testing Human Ability To Detect Deepfake Images of Human Faces". Images were obtained through random selection from the Flickr Faces High Quality dataset (https://paperswithcode.com/dataset/ffhq) and likewise from output of the StyleGAN2 algorithm (https://paperswithcode.com
…authors focused their efforts on reaching a very low label noise and a high pose and age diversity thus, making the VGGFace2 dataset a suitable choice to train state-of-the-art deep learning models on face-related CAUTION: Authors note that the distribution of identities in the VGG-Face dataset may not be representative of the global human population.
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…This setup choice is primarily due to the reduction of occlusions and it has also the advantage of being privacy preserving, because faces are not recorded by the camera.
…Also, it contains 656,954 image pairs split between the 11 relationships, which is much larger than the 2nd to largest KinFaceW-II with 2,000 pairs for only 4 kinship types.
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…The dataset was collected using one 360x360 mechanical spinning LiDAR, one forward-facing, long-range LiDRAR, and 6 cameras.
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The Replay-Mobile Database for face spoofing consists of 1190 video clips of photo and video attack attempts to 40 clients, under different lighting conditions.
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