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ShanghaiTech

Large-scale crowd counting dataset

ShanghaiTech

The Shanghaitech dataset is a large-scale crowd counting dataset. It consists of 1198 annotated crowd images. The dataset is divided into two parts, Part-A containing 482 images and Part-B containing 716 images. Part-A is split into train and test subsets consisting of 300 and 182 images, respectively. Part-B is split into train and test subsets consisting of 400 and 316 images. Each person in a crowd image is annotated with one point close to the center of the head. In total, the dataset consists of 330,165 annotated people. Images from Part-A were collected from the Internet, while images from Part-B were collected on the busy streets of Shanghai.

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Task
Object Detection
Annotation Types
Bounding Boxes
330165
Items
Classes
330165
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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