---
license: mit
task_categories:
- object-detection
language:
- en
tags:
- crowd-counting
- cnn
- detection
pretty_name: crowd counting
size_categories:
- n<1K
---

# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->

This dataset card has 6 .h5 and 6 .mat files that are used by the crowd counting demo

## Dataset Details

### Dataset Description

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- **Curated by:** Rootstrap
- **License:** MIT

### Dataset Sources 

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- **Repository:** https://www.kaggle.com/datasets/tthien/shanghaitech

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

The dataset is used for the demo

### Direct Use

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This dataset is intended to use only for the demo

### Out-of-Scope Use

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This dataset was not used for training the model and can not be used for training a new model as it is very limited.

## Dataset Structure

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The dataset consist of 6 .h5 and 6 .mat.

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

This dataset was created for the demo

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

This .mat files where obtained from the ShangaiTech Dataset and the .h5 were generated from the .mat files using python.

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

The ShangaiTech Dataset part B has 400 images. From this original dataset, 6 random files were gathered.

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

@inproceedings{zhang2016single, title={Single-image crowd counting via multi-column convolutional neural network}, author={Zhang, Yingying and Zhou, Desen and Chen, Siqin and Gao, Shenghua and Ma, Yi}, booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition}, pages={589--597}, year={2016} }

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

As we stated before, this dataset is only ment to be used for the demo and cannot be reproduced in any way.

## Dataset Card Authors

Rootstrap

## Dataset Card Contact

info@rootstrap.com