Update README.md

README.md

@@ -33,16 +33,12 @@ The dataset consists of images of people for detection and segmentation of hairs
 
 The dataset contains a diverse collection of images depicting people with different *hair styles, colors, lengths, and textures*.  Each image is annotated with annotations that indicate the boundaries and contours of the individual hair strands within the oval of the face.
 
+# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=hair-detection-and-segmentation)** to buy the dataset
+
 The dataset can be utilized for various purposes, such as developing machine learning models or algorithms for hair detection and segmentation. It can also be used for research in facial recognition, virtual try-on applications, hairstyle recommendation systems, and other related areas.
 
 ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F81b5a9e6c755e04d97fc6b175a127432%2FMacBook%20Air%20-%201.png?generation=1691561622573906&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?utm_source=huggingface&utm_medium=cpc&utm_campaign=hair-detection-and-segmentation) to discuss your requirements, learn about the price and buy the dataset.
-
 # Dataset structure
 - **images** - contains of original images of people
 - **masks** - includes segmentation masks for the original images
@@ -54,16 +50,20 @@ Leave a request on [**https://trainingdata.pro/data-market**](https://trainingda
 Each image from `images` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the coordinates of the bounding boxes and labels for parking spaces. For each point, the x and y coordinates are provided.
 
 ### Tags for the images:
-- **is_hair** - contains of original images of people
-- **no_hair** - includes segmentation masks for the original images
+- **is_hair** - hair area
+- **no_hair** - area of no hair
 
 # Example of XML file structure
 ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fb634cd569d4bf7a253ac7a0e7a91ef7e%2Fcarbon.png?generation=1691562068420789&alt=media)
 
 # Hair Detection & Segmentation might be made in accordance with your requirements.
 
-## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=hair-detection-and-segmentation) 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?utm_source=huggingface&utm_medium=cpc&utm_campaign=hair-detection-and-segmentation)** to discuss your requirements, learn about the price and buy the dataset
+
+## **[TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=hair-detection-and-segmentation)** 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: biometric dataset, biometric data dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, human images dataset, hair detection, hair segmentation,human hair segmentation, image segmentation, images dataset, computer vision, deep learning dataset, scalp, augmented reality, ar*