FFHQ 70000张png图片 链接：https://pan.baidu.com/s/1XDfTKWOhtwAAQQJ0KBU4RQ 提取码：bowj

  Flickr-Faces-HQ Dataset (FFHQ)

Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN):

A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA) http://stylegan.xyz/paper

The dataset consists of 70,000 high-quality PNG images at… See the full description on the dataset page: https://huggingface.co/datasets/student/FFHQ.

Flickr-Faces-HQ Dataset (FFHQ) dataset: https://github.com/NVlabs/ffhq-dataset 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. It also has good coverage of accessories such as eyeglasses, sunglasses, hats, etc. The images were crawled from Flickr, thus inheriting all the biases of that website, and automatically aligned and cropped using dlib. Only images under permissive… See the full description on the dataset page: https://huggingface.co/datasets/marcosv/ffhq-dataset.

Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN). The dataset consists of 70,000 high-quality PNG images at 1024x1024 resolution and contains considerable variation in terms of age, ethnicity and image background. It also has good coverage of accessories such as eyeglasses, sunglasses, hats, etc. The images were crawled from Flickr, thus inheriting all the biases of that website, and automatically aligned and cropped using dlib. Only images under permissive licenses were collected. Various automatic filters were used to prune the set, and finally Amazon Mechanical Turk was used to remove the occasional statues, paintings, or photos of photos.

Dmini/FFHQ-64x64 dataset hosted on Hugging Face and contributed by the HF Datasets community

Extension of the FFHQ dataset (https://github.com/NVlabs/ffhq-dataset) with precise bounding box annotations for eyeglasses detection.

If you find this dataset useful in your research, please consider citing the original dataset and the following papers:

@article{matuzevicius2024diverse,
title={Diverse Dataset for Eyeglasses Detection: Extending the Flickr-Faces-HQ (FFHQ) Dataset},
author={Matuzevi{\v{c}}ius, Dalius},
journal={Sensors},
volume={24},
number={23},
pages={7697},
year={2024},
publisher={MDPI},
url = {https://doi.org/10.3390/s24237697}
}

@article{matuzevicius2024retrospective,
title={A Retrospective Analysis of Automated Image Labeling for Eyewear Detection Using Zero-Shot Object Detectors},
author={Matuzevi{\v{c}}ius, Dalius},
journal={Electronics},
volume={13},
number={23},
pages={4763},
year={2024},
publisher={MDPI},
url = {https://doi.org/10.3390/electronics13234763}
}

The Non-Hair-FFHQ dataset is a high-quality image dataset that contains 6,000 non-hair-FFHQ portraits.

bitmind/ffhq-jpg dataset hosted on Hugging Face and contributed by the HF Datasets community

Original dataset: https://www.kaggle.com/arnaud58/flickrfaceshq-dataset-ffhq

This dataset contains the same images as the FFHQ dataset, downscaled to 256x256, 128x128, and 64x64 pixels, to make them easier to use in smaller generative models.

Flickr-Faces-HQ Dataset (FFHQ) - 1024x1024

This is a reupload of FFHQ-1024. Refer to the original dataset repo for more information https://github.com/NVlabs/ffhq-dataset Specifically, this is the images1024x1024 set - faces are aligned and cropped to 1024x1024. Original PNG files were transcoded to WEBP losslessly to save space and packed to WebDataset format for ease of streaming. The original filenames are kept (with different file extension) so that you can match against… See the full description on the dataset page: https://huggingface.co/datasets/gaunernst/ffhq-1024-wds.

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. 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.

Progress in GANs has enabled the generation of high-res-olution photorealistic images of astonishing quality. StyleGANs allow for compelling attribute modification on such images via mathematical operations on the latent style vectors in the W/W+ space that effectively modulate the rich hierarchical representations of the generator.

Dataset

This dataset was created by Jade Sag3

Released under CC0: Public Domain

Contents

Dataset

This dataset was created by Shivam Shrirao

Contents

used to training face recognition model

FFHQ-Aging is a Dataset of human faces designed for benchmarking age transformation algorithms as well as many other possible vision tasks. This dataset is an extention of the NVIDIA FFHQ dataset, on top of the 70,000 original FFHQ images, it also contains the following information for each image: * Gender information (male/female with confidence score) * Age group information (10 classes with confidence score) * Head pose (pitch, roll & yaw) * Glasses type (none, normal or dark) * Eye occlusion score (0-100, different score for each eye) * Full semantic map (19 classes, based on CelebAMask-HQ labels)

The dataset used in the paper is a large dataset of images, including FFHQ, AFHQ-Cat, and LSUN-Church.

The dataset used for the experiments in the paper, including CelebA-HQ, FFHQ, and AFHQ datasets.

Dataset

This dataset was created by Tommy NgX

Contents

The Flickr-Faces-HQ (FFHQ) dataset contains high-quality images of human faces, used for training and evaluating generative models.

CitationMax/ffhq dataset hosted on Hugging Face and contributed by the HF Datasets community