datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Anti-Spoofing-Real-Videos
Face Anti Spoofing Dataset - 98 000+ files
Dataset features 98,000+ files of real photos and videos of people from 170+ countries, representing 70,000+ unique individuals. By leveraging this dataset, developers can enhance spoofing detection techniques, improve recognition systems, and deploy anti-spoofing algorithms capable of preventing fraud in deep learning-based solutions.- Get the data
Dataset characteristics:
Characteristic
Data
Description
Live… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/Anti-Spoofing-Real-Videos.fall_videos_GMNCSA24
Dataset Card for GMNCSA24-fall-frames-60pct-opencv2
This is a FiftyOne dataset with 76 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("pjramg/fall_videos_GMNCSA24")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/pjramg/fall_videos_GMNCSA24.
