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:
+- image-classification
+- image-to-image
+- image-feature-extraction
+- object-detection
+tags:
+- crowd counting
+- security
+- public safety
+- key points detection
+- keypoints
+- labeling
+- people
+- crowds
+- public monitoring
+- Crowd Density
+size_categories:
+- n<1K
+---
+# Crowd Density Dataset - Different Crowd Sizes
+
+The dataset consists of **647** images of crowds, containing up to **11,000** individuals, annotated with **keypoints** for precise crowd counting and density estimation. It is designed for crowd counting tasks, particularly in crowded scenes settings, accommodating various sizes and challenges in estimating density. The dataset includes examples of both denser crowds and sparser crowds, enhancing counting accuracy for real-world applications in crowd analysis - **[Get the data](https://unidata.pro/datasets/people-detection-image?utm_source=huggingface&utm_medium=cpc&utm_campaign=crowds)**
+
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2Fa995dc651e11472aa61448f637aba318%2FFrame%20137.png?generation=1727862592661362&alt=media)
+
+It provides density maps for density estimation, useful in crowd monitoring and object detection tasks. Data supports deep learning models for better crowd control and crowd management, offering feature-rich data such as feature maps and predicted density outputs.
+
+# 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/people-detection-image?utm_source=huggingface&utm_medium=cpc&utm_campaign=crowds) to discuss your requirements and pricing options.
+
+### Crowd density types:
+*0-1000, 1000-2000, 2000-3000, 3000-4000, 4000-5000*
+
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F7833728b8d9363e3a0a2805c7b05104b%2FFrame%20138.png?generation=1727863043235245&alt=media)
+
+Additionally, the dataset can help address challenges in public monitoring, especially for crowd gatherings in public places with varying density levels. It's suitable for studies in human detection and detection-based approaches in contexts like video surveillance and public safety.
+
+## Metadata for the dataset
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F559f8f60cbd1dc8f696551e14f6d7f79%2FFrame%20139%20(1).png?generation=1727866511428115&alt=media)
+
+# 🌐 [UniData](https://unidata.pro/datasets/people-detection-image?utm_source=huggingface&utm_medium=cpc&utm_campaign=crowds) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects