12 datasets found

A crowd counting dataset with over 1000 labeled videos captured by over 100 monitoring cameras.

ShanghaiTechA and ShanghaiTechB are two crowd counting datasets containing images of crowds.

Crowd counting is a critical task in computer vision, with several important applications. However, existing counting methods rely on labor-intensive density map annotations,...

The CARPK dataset is a large-scale aerial dataset for counting cars in parking lots. It contains images with a top-down view covering 4 different parking lots.

The dataset used in the paper for crowd counting, consisting of images with varying crowd densities.

ShanghaiTech PartA and PartB datasets for crowd counting and localization.

The UCF CC 50 dataset contains 50 images collected from publicly available web images.

Multi-modal crowd counting involves estimating crowd density from both visual and thermal/depth images.

ShanghaiTech Part B is a crowd counting dataset that contains 400 training images and 316 test images.

ShanghaiTech Part A is a crowd counting dataset that contains 300 training images and 182 test images.

Crowd localization is a new computer vision task, evolved from crowd counting. Different from the latter, it provides more precise location information for each instance, not...

The ShanghaiTech dataset includes 330 training and 107 test videos recorded at 13 different background locations.