Update README.md

README.md

@@ -8,6 +8,12 @@ language:
 tags:
 - legal
 - code
+- Smart City
+- Computer Vision
+- Crowd Counting
+- Keypoint Detection
+size_categories:
+- n<1K
 ---
 # Crowd Counting Dataset
 
@@ -21,7 +27,7 @@ The dataset includes images featuring crowds of people ranging from **0 to 5000
 
 This dataset provides a valuable resource for researchers and developers working on crowd counting technology, enabling them to train and evaluate their algorithms with a wide range of crowd sizes and scenarios. It can also be used for benchmarking and comparison of different crowd counting algorithms, as well as for real-world applications such as *public safety and security, urban planning, and retail analytics*.
 
-## Full version of the dataset includes 647 labeled images of crowds, leave a request on **[TrainingData](https://trainingdata.pro/datasets/crowd-counting?utm_source=huggingface&utm_medium=cpc&utm_campaign=crowd-counting-dataset)** to buy the dataset
+## 💴 Buy the Dataset: This is just an example of the data. Leave a request on the [our website](https://unidata.pro/datasets/people-detection-image/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=crowd-counting-dataset) to discuss your requirements, learn about the price and buy the dataset
 
 ### Statistics for the dataset (number of images by the crowd's size and image width):
 
@@ -29,7 +35,7 @@ This dataset provides a valuable resource for researchers and developers working
 
 # Get the Dataset
 ## This is just an example of the data 
-Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/crowd-counting?utm_source=huggingface&utm_medium=cpc&utm_campaign=crowd-counting-dataset) to learn about the price and buy the dataset**
+Leave a request on [our website](https://unidata.pro/datasets/people-detection-image/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=crowd-counting-dataset) to discuss your requirements, learn about the price and buy the dataset.
 
 # Content
 - **images** - includes original images of crowds placed in subfolders according to its size,
@@ -42,10 +48,6 @@ Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pr
 - **label**: link to access the json-file with labeling,
 - **type**: type of the crowd on the photo
 
-## **[TrainingData](https://trainingdata.pro/datasets/crowd-counting?utm_source=huggingface&utm_medium=cpc&utm_campaign=crowd-counting-dataset)** 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**
+## [Our Team](https://unidata.pro/datasets/people-detection-image/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=crowd-counting-dataset) provides high-quality data annotation tailored to your needs
 
 *keywords: crowd counting, crowd density estimation, people counting, crowd analysis, image annotation, computer vision, deep learning, object detection, object counting, image classification, dense regression, crowd behavior analysis, crowd tracking, head detection, crowd segmentation, crowd motion analysis, image processing, machine learning, artificial intelligence, ai, human detection, crowd sensing, image dataset, public safety, crowd management, urban planning, event planning, traffic management*