Crowd Counting Dataset

Dataset of crowd photos with keypoints labeling of each person

Case Description

Data was obtained by parsing photos of protests, concerts, and other mass events from the internet

: – There is no violence in the photos
– 99% of the photos were taken in daylight

: – Each person is labeled with a keypoint
– Areas where people cannot be clearly observed are annotated

: – Labeling is a set of coordinates in a JSON-file
– Images are classified by the number of people in the crowd

Original image

Labeling of the image

01.
Crowd control at mass events:
Object Detection and Computer Vision for determining crowd density and movement, and counting the number of people for safety and event planning
02.
Civil planning and emergency management:
Computer Vision for determining the most effective evacuation routes
03.
Crowd behavior analysis:
Computer Vision and Classification for analyzing crowd behavior in different situations
04.
Visitor counting:
Object Detection for counting visitors in public places, determining peak visitation times, analyzing popularity, and planning necessary resources and services for visitors