TrainingDataPro commited on
Commit
148d786
1 Parent(s): 76c6828

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +50 -0
README.md CHANGED
@@ -1,3 +1,53 @@
1
  ---
2
  license: cc-by-nc-nd-4.0
 
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  license: cc-by-nc-nd-4.0
3
+ task_categories:
4
+ - image-to-image
5
+ - object-detection
6
+ language:
7
+ - en
8
+ tags:
9
+ - code
10
+ - medical
11
  ---
12
+
13
+ # Medical Staff People Tracking
14
+
15
+ The dataset contains a collection of frames extracted from videos captured within a **hospital environment**. The **bounding boxes** are drawn around the **doctors, nurses, and other people** who appear in the video footage.
16
+
17
+ The dataset can be used for **computer vision in healthcare settings** and *the development of systems that monitor medical staff activities, patient flow, analyze wait times, and assess the efficiency of hospital processes*.
18
+
19
+ ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F923816c1040f503bbe0cb20c8d1f2446%2Fezgif.com-optimize.gif?generation=1695376624951041&alt=media)
20
+
21
+ # Get the dataset
22
+
23
+ ### This is just an example of the data
24
+
25
+ Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=medical-staff-people-tracking) to discuss your requirements, learn about the price and buy the dataset.
26
+
27
+ # Dataset structure
28
+ The dataset consists of 2 folders with frames from the video from a hospital.
29
+ Each folder includes:
30
+ - **images**: folder with original frames from the video,
31
+ - **boxes**: visualized data labeling for the images in the previous folder,
32
+ - **.csv file**: file with id and path of each frame in the "images" folder,
33
+ - **annotations.xml**: contains coordinates of the bounding boxes, created for the original frames
34
+
35
+ # Data Format
36
+
37
+ Each frame from `images` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the coordinates of the bounding boxes for people tracking. For each point, the x and y coordinates are provided.
38
+
39
+ ### Classes:
40
+ - **doctor** - doctor in the frame
41
+ - **nurse** - nurse in the frame
42
+ - **others** - other people (not medical staff)
43
+
44
+ # Example of the XML-file
45
+ ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Ff95aaa420be75d5f089a68b8d30c749b%2Fcarbon.png?generation=1695377446391495&alt=media)
46
+
47
+ # Object tracking might be made in accordance with your requirements.
48
+
49
+ ## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=medical-staff-people-tracking)** provides high-quality data annotation tailored to your needs
50
+
51
+ More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
52
+
53
+ TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**