Shanghaitech crowd counting dataset
WebbCrowd counting on the ShanghaiTech dataset, using multi-column convolutional neural networks. This is an unofficial implementation of CVPR 2016 paper "Single Image Crowd … Webb19 okt. 2024 · 描述： 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 …
Shanghaitech crowd counting dataset
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Webb12 jan. 2024 · We verify our method on four popular crowd counting datasets (ShanghaiTech Part_A dataset, ShanghaiTech Part_B dataset, UCF_CC_50 dataset, and … WebbCrowd counting is a challenging task dealing with the variation of an object scale and a crowd density. Existing works have emphasized on skip connections by integrating shallower layers with deeper layers, where each layer extracts features in a different object scale and crowd density.
Webbof crowd density map, whose values are summed to give the Figure 1. Large scale variations exist in crowd counting datasets. Left: Input image and corresponding ground … WebbThe 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 …
WebbThe proposed dataset for Football Supporters Crowd (FSC-Set) is composed of 6000 annotated images (manually) of different types of scenes that contain thousands of people gathering in or around the stadiums. FSC-Set contains more than 1.5 Million individuals. The collected images are captured under varying Fields of Views (FOV), illuminations ... WebbCrowd Counting on ShanghaiTech A. Crowd Counting. on. ShanghaiTech A. Leaderboard. Dataset. View by. MAE Other models Models with lowest MAE 2016 2024 2024 2024 …
WebbThe UCF-QNRF dataset has the most number of high-count crowd images and annotations, and a wider variety of scenes containing the most diverse set of viewpoints, densities …
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