Omkar2118/datasets huggingface dataset:
CityUHK-X-BEV

BEV Crowd-Counting dataset extended from CityUHK-X

Introducing paper: BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning
EDFace-Celeb-1M

**EDFace-Celeb-1M** is a public Ethnically Diverse Face dataset which is used to benchmark the task of face hallucination. The dataset includes 1.7 million photos that cover different countries, with balanced race composition.

Introducing paper: EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset
MetFaces

MetFaces is an image dataset of human faces extracted from works of art. The dataset consists of 1336 high-quality PNG images at 1024×1024 resolution. The images were downloaded via the Metropolitan Museum of Art Collection API, and automatically aligned and cropped using dlib. Various automatic filters were used to prune the set.

Introducing paper: Training Generative Adversarial Networks with Limited Data