Update README.md

README.md

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-license: cc-by-nc-nd-4.0
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+---
+license: cc-by-nc-nd-4.0
+task_categories:
+- object-detection
+- image-classification
+tags:
+- Computer Vision
+- Smart City
+- Machine Learning
+- Keypoint Detection
+- Security
+- Crowd
+- People tracking
+size_categories:
+- n<1K
+---
+# Crowd Dataset - 647 Photos
+Dataset comprises **647** photos of dense crowds, containing between **1,000 to 13,000 people** per image. Each image includes detailed **keypoint annotations** for every individual, enabling advanced **data analysis** and **deep learning** applications in **crowd density estimation**, **object detection**, and **counting algorithms**. - **[Get the data](https://unidata.pro/datasets/people-detection-image/?utm_source=huggingface-sc&utm_medium=referral&utm_campaign=Crowd-Countin-Dataset)**
+## Dataset characteristics:
+| Characteristic               | Data                                                                 |
+|------------------------------|----------------------------------------------------------------------|
+| Description                  | Crowd photos with labeling for determining crowd density and movement, and counting the number of people |
+| Data types                   | Image                                                               |
+| Tasks                        | Crowd control, object detection, and computer vision                |
+| Total number of photos       | 647                                                                 |
+| Type of crowd density        | 0-1000, 1000-2000, 2000-3000, 3000-4000, 4000-5000                 |
+| Labeling                     | Metadata (type of crowd density) and key points labeling            |
+### 📊 Sample dataset available! For full access, [contact us](https://unidata.pro/datasets/people-detection-image/?utm_source=huggingface-sc&utm_medium=referral&utm_campaign=Crowd-Countin-Dataset) to discuss purchase terms.
+## Dataset structure
+- images - original images
+- labels - images wirth keypoint annotations
+- crowds_counting - metadata for the data
+
+### 🧩 Like the dataset but need different data? We can collect a custom dataset just for you - learn more about our data collection services [here](https://unidata.pro/datasets/people-detection-image/?utm_source=huggingface-sc&utm_medium=referral&utm_campaign=Crowd-Countin-Dataset)
+
+## Similar Datasets:
+1. [Real-Time Traffic Video Dataset](https://unidata.pro/datasets/real-time-traffic-and-environmental-video-dataset/?utm_source=huggingface-sc&utm_medium=referral&utm_campaign=Crowd-Countin-Dataset)
+2. [Cars Object Tracking Dataset](https://unidata.pro/datasets/cars-object-tracking/?utm_source=huggingface-sc&utm_medium=referral&utm_campaign=Crowd-Countin-Dataset)
+3. [Grocery Shelves Dataset](https://unidata.pro/datasets/grocery-shelves/?utm_source=huggingface-sc&utm_medium=referral&utm_campaign=Crowd-Countin-Dataset)
+
+## 🌐 [UniData](https://unidata.pro/datasets/people-detection-image/?utm_source=huggingface-sc&utm_medium=referral&utm_campaign=Crowd-Countin-Dataset) - your trusted data partner. Unique, accurate, thoroughly collected and annotated data designed to fuel your AI/ML success.