datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hand_tracking_challenge_umetrackCheck out the Multiview Egocentric Hand Tracking Challenge 2024!!
To use this dataset, check out the hand_tracking_toolkit
PE-Video
PE Video Dataset (PVD)
[📃 Tech Report]
[📂 Github]
The PE Video Dataset (PVD) is a large-scale collection of 1 million diverse videos, featuring 120,000+ expertly annotated clips. The dataset was introduced in our paper "Perception Encoder".
Overview
PE Video Dataset (PVD) comprises 1M high quality and diverse videos. Among them, 120K videos are accompanied by automated and human-verified annotations. and all videos are accompanied with video description and keywords.… See the full description on the dataset page: https://huggingface.co/datasets/facebook/PE-Video.FaceMe
This is the official datasets for the paper: FaceMe: Robust Blind Face Restoration With Personal Identification
Dataset Overview
This repository contains the following five datasets:
FFHQ
FFHQRef
LFW-Test-Ref
Wider-Test-Ref
WebPhoto-Test-Ref
Dataset Usage
FFHQ and FFHQRef: Used for training.
LFW-Test-Ref, Wider-Test-Ref, and WebPhoto-Test-Ref: Used for inference.
Important Notes
Due to the large size of the FFHQRef dataset, it has been split into… See the full description on the dataset page: https://huggingface.co/datasets/thomas2modyu/FaceMe.emonet-face-big
EmoNet-Face: A Fine-Grained, Expert-Annotated Benchmark for Facial Emotion Recognition
Dataset Summary
EmoNet-Face is a comprehensive benchmark suite designed to address critical gaps in facial emotion recognition (FER). Current benchmarks often have a narrow emotional spectrum, lack demographic diversity, and use uncontrolled imagery. EmoNet-Face provides a robust foundation for developing and evaluating AI systems with a deeper, more nuanced understanding of human… See the full description on the dataset page: https://huggingface.co/datasets/laion/emonet-face-big.mmC4-fewer-facesstark-face-image
Dataset Card for Stark
🏠 Homepage | 💻 Github | 📄 Arxiv | 📕 PDF
List of Provided Model Series
Ultron-Summarizer-Series: 🤖 Ultron-Summarizer-1B | 🤖 Ultron-Summarizer-3B | 🤖 Ultron-Summarizer-8B
Ultron 7B: 🤖 Ultron-7B
🚨 Disclaimer: All models and datasets are intended for research purposes only.
Dataset Summary
Stark is a publicly available, large-scale, long-term multi-modal conversation dataset that encompasses a diverse range of social personas… See the full description on the dataset page: https://huggingface.co/datasets/passing2961/stark-face-image.CASIA_FaceSwapping
CASIA FaceSwapping Dataset
This dataset is strictly protected by license agreement and is available for academic and research purposes only.
📋 Access Procedure
To access this dataset, you must complete the following steps:
Download and carefully read the license agreement:CASIA FaceSwapping Dataset License Agreement
Print or electronically sign the agreement (must be signed by an authorized signatory).
Send the signed PDF to the following email… See the full description on the dataset page: https://huggingface.co/datasets/budong123/CASIA_FaceSwapping.faceswap-ghostcrawl_facehuman-facebangumibase-face-quality-cls
deepghs-cv/bangumibase-face-quality-cls
A 4-class anime face drawing-quality classification dataset (88,000 single-character close-up frames, 818 anime shows), derived from deepghs/bangumibase-webp-4Mpixel_x. Labels are {poor, ok, good, excellent} from face_geo_mean = sqrt(face_w · face_h) after a strict single-face + single-head + face∩head-overlap consistency filter.
⚠ Scope. Every row is a frame from an anime TV-series broadcast. The dataset is intended for training/evaluating… See the full description on the dataset page: https://huggingface.co/datasets/deepghs-cv/bangumibase-face-quality-cls.facesyntheticsspigacaptioned_en_zhFaces-alignedfaces3_aligned