6,924 Images – Urban Management Dataset (Illegal Roadside Stalls)

10,142 Fall Detection Videos – Human Fall Behavior Dataset

This dataset contains 10,142 videos of human fall behavior in both indoor and outdoor scenes. The data covers multiple scenes, multiple shooting angles, multiple time periods, multiple resolution. This dataset can be used for fall detection, fall recognition, elderly fall monitoring, and human activity recognition tasks in AI development.

fall detection dataset fall recognition dataset fall behavior dataset human activity recognition dataset HAR dataset elderly fall video dataset fall detection videos

14,592 Videos-Fire Data

14,592 Videos-Fire Data. The data includes indoor scenes and outdoor scenes. The data covers multiple scenes, multiple shooting angles, multiple collecting time, multiple resolution. The data can be used for tasks such as fire detection, fire identification tasks, etc.

Multiple scenes Multiple shooting angles Multiple collecting time Multiple resolution

16 Categories – 75,239 Groups of Urban Refined Management Data

16 Categories – 75,239 Groups of Urban Refined Management Data. 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. This data can be used for tasks such as urban refined management.

Urban Multiple scenes Different time periods Different photographic angles

Overhead Surveillance Video Dataset for Human Tracking - 11,352 Videos

This dataset contains 11,352 overhead surveillance videos recorded in diverse indoor and outdoor scenarios across various time periods. Captured from top-down views, the data is suitable for tasks such as human detection, pedestrian tracking, people counting, and human body attribute analysis. It is ideal for developing and benchmarking computer vision models in surveillance and security applications. All data are legally sourced and fully compliant with GDPR, CCPA, and PIPL.

overhead surveillance dataset human tracking video data CCTV video AI dataset top-view pedestrian video computer vision surveillance data annotated surveillance video smart city dataset multi-person tracking action recognition dataset people detection video dataset

13,259 Images – Luggage, Baby Carriage & Wheelchair Dataset in Surveillance Scenes

This dataset includes indoor and outdoor scenes. The data diversity includes different light conditions, different collecting environment, different types of luggage cases, different types of baby carriages, different types of wheelchairs. In terms of annotation,rectangular bounding boxes were adopted for luggage case, baby carriage and wheelchair. The data can be used for object detection, AI model training, and computer vision research in real-world surveillance scenarios.

luggage detection dataset stroller detection dataset wheelchair detection dataset surveillance object detection dataset indoor outdoor surveillance data multi-condition object detection dataset annotated luggage stroller wheelchair images AI object detection training data pedestrian and object detection dataset realistic surveillance scenes dataset

10 Categories – 8,085 Groups of Urban Refined Management Data

10 Categories – 8,085 Groups of Urban Refined Management Data. The collection scenes include street, snack street, shop entrance, corridor, community entrance, construction site, etc. The data diversity includes multiple scenes, different time periods(day, night), different photographic angles. The urban refined management categories in the images were annotated with rectangular bounding boxesThis data can be used for tasks such as urban refined management.

Multiple scenes Different time periods Different photographic angles

2,981 Paired Fog & Clear Images Dataset for Image Defogging

This dataset contains 2,981 pairs of foggy and clear images collected from a wide range of real-world outdoor scenes, including urban streets, rural roads, mountains, parks, ruins, buildings, shops, flowers, trees, and seaside views. Each image pair captures the same scene under foggy and no-fog conditions, with variations in time of day, viewpoint, and fog density. This dataset is ideal for tasks such as single image dehazing, fog removal, image enhancement in adverse weather conditions, and computer vision robustness testing. All images are high-quality and suitable for training deep learning models in real-world defogging applications.

foggy image dataset image defogging dataset dehazing image dataset fog and clear image pairs AI image enhancement dataset paired fog dataset outdoor fog dataset weather condition image dataset road fog dataset single image dehazing dataset

895 Fire Videos Data

895 Fire Videos Data，the total duration of videos is 27 hours 6 minutes 48.58 seconds. The dataset adpoted different cameras to shoot fire videos. The shooting time includes day and night.The dataset can be used for tasks such as fire detection.

Fire Multiple scenes Multiple light conditions