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.
For more details, please refer to the link: https://www.nexdata.ai/datasets/computervision/1092?source=Github
10 categories, including 18 subclasses, a group of data contains 2 images from different angles and 1 video
including street, snack street, shop entrance, corridor, community entrance, construction site, etc.
multiple scenes, different time periods, different photographic angles
cellphone
looking down angle
day, night
the image data format is .jpg, the video data format is .mp4, .mov, the annotation file format is .json
the urban refined management categories in the images were annotated with rectangular bounding boxes
the error bound of each vertex of quadrilateral bounding box is within 3 pixels, which is a qualified annotation, the accuracy of bounding boxes is not less than 95%; the accuracy of label annotation is not less than 95%
Commercial License