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760,607 Images - Vehicles Detection Data in Surveillance Scenes

Vehicle detection data
intelligent monitoring data
security data

760,607 Images - Vehicles Detection Data in Surveillance Scenes. 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). In this dataset, vehicles rectangular bounding boxes and vehicle type attributes were annotated. The data can be used for tasks such as vehicles detection in surveillance scenes.

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SpecificationsSpecifications
Data size
760,607 images, 5,796,265 bounding boxes
Collecting environment
underground parking lot, surface parking lot, entrance and exit gates, outdoor roads (highways, urban roads, etc.)
Data diversity
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%
Sample Sample
  • Waiting For Data
Recommended DatasetsRecommended Dataset
600,000 Images – Vehicle Re-ID Data in Surveillance Scenes

600,000 Images – Vehicle Re-ID Data in Surveillance Scenes. The collecting scenes of this dataset include outdoor roads (highways, road bayonets, urban roads, etc.). The data diversity includes different cameras, multiple outdoor scenes, multiple time periods. For annotation, rectangular bounding boxes of vehicles were annotated. The data can be used for tasks such as vehicle re-id in surveillance scenes.

Vehicle Re-ID outdoor roads different cameras multiple outdoor scenes multiple time periods rectangular bounding boxes of vehicles
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