faces
Datasets
All datasets matching “faces”CelebA-faces-with-attributesfacesyntheticsspigacaptioned
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-facesSpeaking_Faces
Data were collected from 142 subjects, yielding over 13,000 instances of synchronized data (3.8 TB).
Link to the published paper: https://www.mdpi.com/1424-8220/21/10/3465/htm
Data Acquisition
FLIR T540 thermal camera (464×348 pixels, 24◦ FOV) and a Logitech C920 Pro HD web-camera (768×512 pixels, 78◦ FOV) with a built-in dual stereo microphone were used for data collection purpose. Each subject participated in two trials where each trial consisted of two sessions. In the first session… See the full description on the dataset page: https://huggingface.co/datasets/issai/Speaking_Faces.flickr_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.generated-passport-faces-aditya-second-half