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2,002 People - Electric Bicycle Entering Elevator Data
ReID data
event detection
differentt types of elevators
different types of electric bicycles
multiple ages
2,002 People - Electric Bicycle Entering Elevator Data. 2,002 people, 1 image and 4-5 videos were collected for each person. The data covers ranging from teenager to the elderly, the middle-aged and young people are the majorities. The data can be used for tasks such as electric bicycle detection, electric bicycle recognition.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
2,002 people, 1 image and 4-5 videos were collected for each person
Race distribution
Asian
Gender distribution
940 males,1,062 females
Age distribution
ranging from teenager to the elderly, the middle-aged and young people are the majorities
Collecting environment
indoor scenes
Data diversity
different types of elevators, different types of electric bicycles,multiple ages
Device
surveillance cameras
Data format
.jpg, .mp4
Annotation accuracy
the accuracy of labels of gender, race, age, collecting scene and electric bicycle model are more than 97%
Sample
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13,259 Images-Luggage Case, Baby Carriage, Wheelchair Data in Surveillance Scenes
13,259 Images-Luggage Case, Baby Carriage, Wheelchair Data 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 and other tasks.
different light conditions different collecting environment different types of luggage cases different types of baby carriages different types of wheelchairs
Specifications
Sample
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