datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
facesyntheticsspigacaptioned
Dataset Card for "face_synthetics_spiga_captioned"
This is a copy of the Microsoft FaceSynthetics dataset with SPIGA-calculated landmark annotations, and additional BLIP-generated captions.
For a copy of the original FaceSynthetics dataset with no extra annotations, please refer to pcuenq/face_synthetics.
Here is the code for parsing the dataset and generating the BLIP captions:
from transformers import pipeline
dataset_name = "pcuenq/face_synthetics_spiga"
faces =… See the full description on the dataset page: https://huggingface.co/datasets/multimodalart/facesyntheticsspigacaptioned.CelebA-facesWider_FaceSegLitegenerated-passport-faces-aditya-second-halfflickr_faces_res512_50k
Dataset Card for flicker-faces
This is a FiftyOne dataset with 52001 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("harpreetsahota/flickr_faces_res512_50k")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/harpreetsahota/flickr_faces_res512_50k.face_synthetics_spiga
Dataset Card for "face_synthetics_spiga"
This is a copy of Microsoft FaceSynthetics dataset with SPIGA landmark annotations. For a copy of the original FaceSynthetics dataset with no extra annotations, please refer to pcuenq/face_synthetics.
Please, refer to the original license, which we replicate in this repo. The SPIGA annotations were created by Hugging Face Inc. and are distributed under the MIT license.
This dataset was prepared using the code below. It iterates through the… See the full description on the dataset page: https://huggingface.co/datasets/pcuenq/face_synthetics_spiga.anime-faces
Dataset Card for anime-faces
Dataset Summary
This is a dataset consisting of 21551 anime faces scraped from www.getchu.com, which are then cropped using the anime face detection algorithm in https://github.com/nagadomi/lbpcascade_animeface. All images are resized to 64 * 64 for the sake of convenience. Please also cite the two sources when using this dataset.
Some outliers are still present in the dataset:
Bad cropping results
Some non-human faces.
Feel free to contribute… See the full description on the dataset page: https://huggingface.co/datasets/huggan/anime-faces.anime-faces-256140k-Real-and-Fake-Faces
140k Real and Fake Faces Dataset
📝 Dataset Description
Dataset Summary
The 140k Real and Fake Faces Dataset is a balanced face image collection designed to benchmark models for detecting StyleGAN-generated faces. The dataset contains 70,000 real human face photographs sourced from the Flickr-Faces-HQ (FFHQ) dataset compiled by NVIDIA, and 70,000 fake faces sampled from the 1 Million Fake Faces dataset generated by StyleGAN and originally provided by Bojan.… See the full description on the dataset page: https://huggingface.co/datasets/TheKernel01/140k-Real-and-Fake-Faces.face-segmentation-image-dataset
Image Dataset of Face Segmentation for recognition tasks
Dataset comprises 87,800+ images annotated with 100+ landmarks, providing a comprehensive foundation for research in face recognition, segmentation tasks, and object recognition. It is designed to support the development of learning models, recognition algorithms, and segmentation techniques.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in facial recognition, face… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/face-segmentation-image-dataset.anime-faces
Dataset Card for anime-faces
Dataset Summary
This is a dataset consisting of 21551 anime faces scraped from www.getchu.com, which are then cropped using the anime face detection algorithm in https://github.com/nagadomi/lbpcascade_animeface. All images are resized to 64 * 64 for the sake of convenience. Please also cite the two sources when using this dataset.
Some outliers are still present in the dataset:
Bad cropping results
Some non-human faces.
Feel free to… See the full description on the dataset page: https://huggingface.co/datasets/Thunderbeast/anime-faces.imdb_faces_age_gender_name_256facesyntheticsspigacaptioned
Dataset Card for "face_synthetics_spiga_captioned"
This is a copy of the Microsoft FaceSynthetics dataset with SPIGA-calculated landmark annotations, and additional BLIP-generated captions.
For a copy of the original FaceSynthetics dataset with no extra annotations, please refer to pcuenq/face_synthetics.
Here is the code for parsing the dataset and generating the BLIP captions:
from transformers import pipeline
dataset_name = "pcuenq/face_synthetics_spiga"
faces =… See the full description on the dataset page: https://huggingface.co/datasets/YuhoLiang/facesyntheticsspigacaptioned.imdb_wiki_facespassport-faces
Passport Faces
Face crop images organized into men/ and women/ folders, with a _metadata.csv in each.
CelebA-faces-cropped-128
Dataset Card for "CelebA-faces-cropped-128"
Just a 128px version of the CelebA-faces dataset, which I've cropped to the face regions using dlib. Processing notebook: https://colab.research.google.com/drive/1-P5mKb5VEQrzCmpx5QWomlq0-WNXaSxn?usp=sharing
More Information needed
3D-FaceShellfaceswapimg_dataceleba-faces-captioned
Dataset Card for "celeba-faces-captioned"
More Information needed
SD_v2_facesffhq-256_training_facesfacesyntheticsspigacaptioned_1
Dataset Card for "facesyntheticsspigacaptioned_1"
More Information needed
dalle2-facesffhq-256_training_facesage-estimation-kids-faces-datasetKids and teens face dataset for age estimation tasks. This children face dataset contains images of kids and teens with accurate age labels, perfect for training age estimation models, young faces recognition, and age-based face dataset applications. Includes face dataset with age metadata for each subject
10,000+ selfies | Verified age labels | 10-30 years | Multi-ethnic
The Problem
New age-gating laws (COPPA 2.0, EU DSA, Australia Social Media Act) require apps to detect… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/age-estimation-kids-faces-dataset.faceswapimg_datafaces
Dataset Card for "faces"
More Information needed
facesyntheticsspigacaptioned_en_zh_1
Dataset Card for "facesyntheticsspigacaptioned_en_zh_1"
More Information needed
SD_v14_facesfaces