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Urban Surveillance Dataset – 75,239 Groups, 16 Categories with Bounding Box Annotations

smart city dataset
city management dataset
urban surveillance dataset
urban object detection dataset
public space monitoring dataset
urban environment dataset
public safety dataset

This dataset contains 75,239 groups of images across 16 urban categories. The collection scenes include street, snack street, shop entrance, corridor, community entrance, etc. The data diversity includes multiple scenes, different time periods(day, night), different photographic angles. Each image is annotated with bounding boxes. This data can be used for tasks such as urban object detection, public safety monitoring, smart city infrastructure analysis, and computer vision model training.

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SpecificationsSpecifications
Data size
16 categories, a total of 75,239 images
Collecting environment
including street, snack street, shop entrance, corridor, community entrance, etc.
Data diversity
multiple scenes, different time periods, different photographic angles
Device
surveillance camera
Collecting angle
looking down angle
Collecting time
day, night
Data format
.jpg, .json
Accuracy
the qualification rate of the bounding box is not less than 95%, the accuracy of label annotation is not less than 95%
Sample Sample
  • Urban Surveillance Dataset – 75,239 Groups, 16 Categories with Bounding Box Annotations
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