Android app wireframes dataset
Description | Dataset of 406 JSON files and JPG images, including the component name, size and position. These images were used for the development of the UIPAC model for automatic classification of a wireframe into a set of UI Design Patterns. |
Data collection | This dataset is composed of JSON files filtered from Sketch2aia (available under the creative commons Attribution-NonCommercial-ShareAlike 4.0 International license) and a part of RICO (copyright informations) using its UI Screenshots and hierachies with semantic annotations. |
Data formats | The dataset is grouped by class, each class is a folder that contains the instances.
These instances are in 2 formats, JSON and JPG, every instance has his representation in structural file (JSON) and image (JPG): JPG: these files are images generated with the Python library PIL, creating a visual representation of the JSONs |
Download | Full dataset, organized into folders by each class Git with the code of our model |
Licence | Our research is available under creative commons Attribution-NonCommercial-ShareAlike 4.0 International |
Citation | Schmitt Kreuch, E., Gresse von Wangenheim, C. And Carlo Rossa Hauck, J. (2021). User Interface structural components description dataset for the automatic classification of Wireframes into UI Design Patterns with Deep Learning, GQS/INCoD/INE/UFSC [Data set]. |
Keywords | Wireframe, UI Design Patterns, App Inventor, Mobile application, Android, Deep learning |