Nexdata commited on
Commit
98d05e8
·
verified ·
1 Parent(s): e04b982

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +28 -0
README.md CHANGED
@@ -1,3 +1,31 @@
1
  ---
2
  license: cc-by-nc-nd-4.0
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  license: cc-by-nc-nd-4.0
3
  ---
4
+ ## Description
5
+ 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.
6
+
7
+ For more details, please refer to the link: https://www.nexdata.ai/dataset/1231?source=Huggingface
8
+
9
+
10
+ ## Data size
11
+ 4,001 people, about 385-2,779 images per person
12
+ ## Race distribution
13
+ Asian
14
+ ## Gender distribution
15
+ 2,052 males, 1,949 females
16
+ ## Age distribution
17
+ from children to the elderly
18
+ ## Collecting environment
19
+ including indoor and outdoor scenes (such as supermarket, mall and community, etc.)
20
+ ## Data diversity
21
+ different ages, different time periods, different cameras, different human body orientations and postures, different collecting scenes
22
+ ## Device
23
+ surveillance cameras, the image resolution is not less 1,920*1,080
24
+ ## Data format
25
+ the image data format is .jpg, the annotation file format is .json
26
+ ## Annotation content
27
+ human body rectangular bounding boxes
28
+ ## Accuracy
29
+ 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%
30
+ # Licensing Information
31
+ Commercial License