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Crowd Dataset - 647 Photos
Dataset comprises 647 photos of dense crowds, containing between 1,000 to 13,000 people per image. Each image includes detailed keypoint annotations for every individual, enabling advanced data analysis and deep learning applications in crowd density estimation, object detection, and counting algorithms. - Get the data
Dataset characteristics:
Characteristic | Data |
---|---|
Description | Crowd photos with labeling for determining crowd density and movement, and counting the number of people |
Data types | Image |
Tasks | Crowd control, object detection, and computer vision |
Total number of photos | 647 |
Type of crowd density | 0-1000, 1000-2000, 2000-3000, 3000-4000, 4000-5000 |
Labeling | Metadata (type of crowd density) and key points labeling |
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Dataset structure
- images - original images
- labels - images wirth keypoint annotations
- crowds_counting - metadata for the data
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