UniDataPro/crowd-counting

Crowd Density Dataset - Different Crowd Sizes

The dataset consists of 647 images of crowds, containing up to 11,000 individuals, annotated with keypoints for precise crowd counting and density estimation. It is designed for crowd counting tasks, particularly in crowded scenes settings, accommodating various sizes and challenges in estimating density. The dataset includes examples of both denser crowds and sparser crowds, enhancing counting accuracy for real-world applications in crowd analysis - Get the data

It provides density maps for density estimation, useful in crowd monitoring and object detection tasks. Data supports deep learning models for better crowd control and crowd management, offering feature-rich data such as feature maps and predicted density outputs.

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Crowd density types:

0-1000, 1000-2000, 2000-3000, 3000-4000, 4000-5000

Additionally, the dataset can help address challenges in public monitoring, especially for crowd gatherings in public places with varying density levels. It's suitable for studies in human detection and detection-based approaches in contexts like video surveillance and public safety.

Metadata for the dataset

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