Update README.md

README.md

@@ -27,47 +27,65 @@ dataset_info:
 # Pose Estimation
 The dataset is primarly intended to dentify and predict the positions of major joints of a human body in an image. It consists of people's photographs with body part labeled with keypoints.
 
-# 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/pose-estimation-annotation?utm_source=huggingface&utm_medium=cpc&utm_campaign=pose_estimation) to discuss your requirements, learn about the price and buy the dataset.
+# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets/pose-estimation-annotation?utm_source=huggingface&utm_medium=cpc&utm_campaign=pose_estimation)** to buy the dataset
 
 ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F31b38dee8dc63c581004afcf82136116%2F12.jpg?generation=1684357817470094&alt=media)
 
 # Data Format
 
-Each image from `EP` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the coordinates of the key points. For each point, the x and y coordinates are provided, and there is a `Presumed_Location` attribute, indicating whether the point is presumed or accurately defined.
+Each image from `PE` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the coordinates of the key points. For each point, the x and y coordinates are provided, and there is a `Presumed_Location` attribute, indicating whether the point is presumed or accurately defined.
 
 # Example of XML file structure
 ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fc8b7cc938539368c9ec03dd01a26724c%2Fcarbon%20(1).png?generation=1684358333663868&alt=media)
 
 # Labeled body parts
 Each keypoint is ordered and corresponds to the concrete part of the body:
-0. **Nose**
-1. **Neck**
-2. **Right shoulder**
-3. **Right elbow**
-4. **Right wrist**
-5. **Left shoulder**
-6. **Left elbow**
-7. **Left wrist**
-8. **Right hip**
-9. **Right knee**
-10. **Right foot**
-11. **Left hip**
-12. **Left knee**
-13. **Left foot**
-14. **Right eye**
-15. **Left eye**
-16. **Right ear**
-17. **Left ear**
+
+0 **Nose**
+
+1 **Neck**
+
+2 **Right shoulder**
+
+3 **Right elbow**
+
+4 **Right wrist**
+
+5 **Left shoulder**
+
+6 **Left elbow**
+
+7 **Left wrist**
+
+8 **Right hip**
+
+9 **Right knee**
+
+10 **Right foot**
+
+11 **Left hip**
+
+12 **Left knee**
+
+13 **Left foot**
+
+14 **Right eye**
+
+15 **Left eye**
+
+16 **Right ear**
+
+17 **Left ear**
 
 
 # Keypoint annotation is made in accordance with your requirements.
 
-## [**TrainingData**](https://trainingdata.pro/data-market/pose-estimation-annotation?utm_source=huggingface&utm_medium=cpc&utm_campaign=pose_estimation) provides high-quality data annotation tailored to your needs
+# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/pose-estimation-annotation?utm_source=huggingface&utm_medium=cpc&utm_campaign=pose_estimation)** to discuss your requirements, learn about the price and buy the dataset
+
+## **[TrainingData](https://trainingdata.pro/datasets/pose-estimation-annotation?utm_source=huggingface&utm_medium=cpc&utm_campaign=pose_estimation)** 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: keypoints dataset, people with keypoints, keypoints annotation, keypoint detection dataset, biometric dataset, biometric data dataset, pose recognition database, pose detection dataset, pose estimation dataset, annotated body joints, pose annotations dataset, human images dataset, 2d human movements, hpe dataset*