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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%
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数据亮点
4,001 People Single Object Multi-view Tracking Data