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Datasets/ShanghaiTech

ShanghaiTech

ImagesUnknownIntroduced 2016-01-01

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.

Source: Iterative Crowd Counting

Image Source: Li et al

Benchmarks

3D Anomaly Detection/AUC3D Anomaly Detection/RBDC3D Anomaly Detection/TBDCAnomaly Detection/AUCAnomaly Detection/RBDCAnomaly Detection/TBDCVideo/AUCVideo Anomaly Detection/AUCVideo Anomaly Detection/RBDCVideo Anomaly Detection/TBDCVideo Understanding/AUC

Related Benchmarks

ShanghaiTech A/Crowds/MAEShanghaiTech A/Crowds/MSEShanghaiTech A/Crowds/RMSEShanghaiTech B/Crowds/MAEShanghaiTech B/Crowds/MSEShanghaiTech B/Crowds/RMSEShanghaiTech Campus/3D Anomaly Detection/AUCShanghaiTech Campus/Anomaly Detection/AUCShanghaiTech Campus/Anomaly Detection/AUC-ROCShanghaiTech Campus/Video Anomaly Detection/AUCShanghaiTech Weakly Supervised/3D Anomaly Detection/AUC-ROCShanghaiTech Weakly Supervised/3D Anomaly Detection/FAR-NormalShanghaiTech Weakly Supervised/Anomaly Detection/AUC-ROCShanghaiTech Weakly Supervised/Anomaly Detection/FAR-NormalShanghaiTech Weakly Supervised/Video/AUC-ROCShanghaiTech Weakly Supervised/Video Anomaly Detection/AUC-ROCShanghaiTech Weakly Supervised/Video Anomaly Detection/FAR-NormalShanghaiTech Weakly Supervised/Video Understanding/AUC-ROC

Statistics

Papers
277
Benchmarks
11

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Tasks

3D Anomaly DetectionAbnormal Event Detection In VideoAnomaly DetectionAnomaly Detection In Surveillance VideosCross-Part Crowd CountingCrowd CountingVideoVideo Anomaly DetectionVideo Understanding