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600,000 Images – Vehicle Re-ID Data in Surveillance Scenes
Vehicle Re-ID
outdoor roads
different cameras
multiple outdoor scenes
multiple time periods
rectangular bounding boxes of vehicles
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.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
including different cameras, multiple outdoor scenes, multiple time periods
Device
surveillance cameras
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
rectangular bounding boxes of vehicles
Accuracy
a rectangular bounding box of vehicle is qualified when the deviation is not more than 3 pixels, and the qualified rate of the bounding boxes shall not be lower than 97%
Sample
Waiting For Data
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760,607 Images - Vehicles Detection Data in Surveillance Scenes
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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