2018/04/30 · The CrowdHuman dataset is large, rich-annotated and contains high diversity. There are a total of 470K human instances from the train and ...

CrowdHuman is a benchmark dataset to better evaluate detectors in crowd scenarios. The CrowdHuman dataset is large, rich-annotated and contains high diversity.

The proposed framework, called Double Anchor R-CNN, is able to detect the body and head for each person simultaneously in crowded scenarios and outperforms ...

CrowdHuman is a large and rich-annotated human detection dataset, which contains 15,000, 4,370 and 5,000 images collected from the Internet for training, ...

In this paper, we introduce a new dataset, called CrowdHuman, to better evaluate detectors in crowd scenarios.

The CrowdHuman dataset is large, rich-annotated and contains high diversity. There are a total of 470 ​ K 470 K 470K human instances from the train and ...

The current state-of-the-art on CrowdHuman (full body) is InternImage-H. See a full comparison of 19 papers with code.

2018/05/25 · The CrowdHuman dataset is large, rich-annotated and contains high diversity. There are a total of $470K$ human instances from the train and ...

2021/08/31 · Shuai Shao , Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, Jian Sun: CrowdHuman: A Benchmark for Detecting Human in a Crowd.

CrowdHuman: A Benchmark for Detecting Human in a Crowd. July 2020. tl;dr: A large scale (15k training images) dataset for crowded/dense human detection.