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This large-scale vehicle detection dataset contains 759,429 images. The collection scenes include underground parking lot, surface parking lot, entrance and exit gates and outdoor roads (highways, urban roads, etc.). The data includes different surveillance scenes, different time periods, different cameras and various vehicle distributions (crowded, sparse). This dataset is annotated with rectangular vehicle bounding boxes and vehicle type attributes. The data can be used for tasks AI tasks such as vehicle detection, traffic monitoring, and parking lot management.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
different surveillance scenes, different time periods, different cameras, various vehicle distributions (crowded, sparse)
Device
surveillance camera, cellphone (a few)
Collecting angle
looking down angle, eye-level angle
Collecting time
day, night
Data format
the image data format is .jpg, the annotation file format is .json
Annotation content
vehicles rectangular bounding boxes and vehicle type attributes were annotated
Accuracy
the bounding box of vehicle is qualified when the deviation is not more than 3 pixels, and the qualified rate of the bounding box shall not be lower than 97%
Specifications
Sample
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