4,001 People Single Object Multi-view Tracking Data

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4,001 People Single Object Multi-view Tracking Data_4,001 People Single Object Multi-view Tracking Data

4,001 People Single Object Multi-view Tracking Data

Licensed Off-the-shelf Datasets to Boost AI Projects Development.

4,001 People Single Object Multi-view Tracking Data, the data collection site includes indoor and outdoor scenes (such as supermarket, mall and community, etc.) , where each subject appeared in at least 7 cameras. The data diversity includes different ages, different time periods, different cameras, different human body orientations and postures, different collecting scenes. It can be used for computer vision tasks such as object detection and object tracking in multi-view scenes.

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Specifications

Data size: 4,001 people, about 385-2,779 images per person

Race distribution: Asian

Gender distribution: 2,052 males, 1,949 females

Age distribution: from children to the elderly

Collecting environment: including indoor and outdoor scenes (such as supermarket, mall and community, etc.)

Data diversity: different ages, different time periods, different cameras, different human body orientations and postures, different collecting scenes

Device: surveillance cameras, the image resolution is not less 1,920*1,080

Data format: the image data format is .jpg, the annotation file format is .json

Annotation content: human body rectangular bounding boxes

Accuracy: A rectangular bounding box of human body 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

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4,001 People Single Object Multi-view Tracking Data

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4,001 People Single Object Multi-view Tracking Data