celeba
Datasets
All datasets matching “celeba”celebA_spoof
Dataset Card for "celebA_spoof"
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CelebA-faces-with-attributesceleba
Dataset Card for Dataset Name
CelebFaces Attributes Dataset (CelebA) is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations.
The images in this dataset cover large pose variations and background clutter. CelebA has large diversities, large quantities, and rich annotations, including:
10,177 number of identities,
202,599 number of face images, and
5 landmark locations, 40 binary attributes annotations per image.
The… See the full description on the dataset page: https://huggingface.co/datasets/flwrlabs/celeba.CelebA-facessemasia-celeba
Latents for celeba (timm)
This repository hosts precomputed latent representations (embeddings) extracted from timm image-classification backbones on celeba, released as part of SEMASIA — a large-scale resource for studying semantic communication, cross-model latent space alignment, and explainability.
Each config corresponds to a single model;
only that model's Parquet files are read on load_dataset.
Usage
Load with datasets and convert… See the full description on the dataset page: https://huggingface.co/datasets/spaicom-lab/semasia-celeba.celebamask-hq
Dataset Card for celebamask-hq
This is a FiftyOne dataset with 30000 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/celebamask-hq")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/harpreetsahota/celebamask-hq.