Given a short query with keyphrases about a research idea in 2018 in the domain of artificial intelligence, recommend the relevant datasets to validate the research idea from options provided. A short description of the datasets is also provided to help you.

Query: A new deeply-recursive network for crowd counting.

Keyphrases: crowd counting images

Dataset description:
JHU-CROWD++: JHU-CROWD++ is A large-scale unconstrained crowd counting dataset with 4,372 images and 1.51 million annotations. This dataset is collected under a variety of diverse scenarios and environmental conditions.
CUFSF: The CUHK Face Sketch FERET (CUFSF) is a dataset for research on face sketch synthesis and face sketch recognition. It contains two types of face images: photo and sketch.
ShanghaiTech: The Shanghaitech dataset is a large-scale crowd counting dataset. It consists of 1198 annotated crowd images.
UCF-QNRF: The UCF-QNRF dataset is a crowd counting dataset and it contains large diversity both in scenes, as well as in background types. It consists of 1535 images high-resolution images from Flickr, Web Search and Hajj footage.

Options:- A: JHU-CROWD++  B: CUFSF  C: ShanghaiTech  D: UCF-QNRF
ShanghaiTech