Update README.md

README.md

@@ -1,3 +1,96 @@
 ---
 license: mit
+task_categories:
+- image-classification
+language:
+- en
+tags:
+- medical
+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
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+- **Curated by:** Rootstrap
+- **License:** MIT
+
+### Dataset Sources [optional]
+
+<!-- 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
+
+[email protected]