rootstrap-org/crowd-counting

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

<!-- Provide a longer summary of what this dataset is. -->

• —Curated by: Rootstrap
• —License: MIT

Dataset Sources

<!-- Provide the basic links for the dataset. -->

• —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

<!-- This section describes suitable use cases for the dataset. -->

This dataset is intended to use only for the demo

Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

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

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

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