Update README.md

README.md

@@ -94,21 +94,16 @@ dataset_info:
   download_size: 28155019
   dataset_size: 37214
 ---
-
-# Medical Staff People Tracking
+# Medical Staff People Tracking - Object Detection dataset
 
 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. 
 
+# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=medical-staff-people-tracking)** to buy the dataset
+
 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*.
 
 ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F923816c1040f503bbe0cb20c8d1f2446%2Fezgif.com-optimize.gif?generation=1695376624951041&alt=media)
 
-# Get the dataset
-
-### This is just an example of the data
-
-Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=medical-staff-people-tracking) to discuss your requirements, learn about the price and buy the dataset.
-
 # Dataset structure
 The dataset consists of 2 folders with frames from the video from a hospital. 
 Each folder includes:
@@ -117,6 +112,8 @@ Each folder includes:
 - **.csv file**: file with id and path of each frame in the "images" folder,
 - **annotations.xml**: contains coordinates of the bounding boxes, created for the original frames
 
+# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=medical-staff-people-tracking)** to discuss your requirements, learn about the price and buy the dataset
+
 # Data Format
 
 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.
@@ -131,8 +128,10 @@ Each frame from `images` folder is accompanied by an XML-annotation in the `anno
 
 # Object tracking might be made in accordance with your requirements.
 
-## **[TrainingData](https://trainingdata.pro/data-market/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=medical-staff-people-tracking)** provides high-quality data annotation tailored to your needs
+# **[TrainingData](https://trainingdata.pro/datasets/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=medical-staff-people-tracking)** provides high-quality data annotation tailored to your needs
 
 More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
 
-TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
+TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
+
+*keywords: human detection dataset, object detection dataset, people tracking dataset, tracking human object interactions, human Identification tracking dataset, people detection annotations, human trafficking dataset, deep learning object tracking, multi-object tracking dataset, labeled web tracking dataset, large-scale object tracking dataset, image dataset, classification, object detection, medical data, doctors, nurses*