UI-Detector Object Detection Dataset and Pre-Trained Model by Tunis Business School

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Explore Dataset

Here are a few use cases for this project:

Automated User Interface Testing: The UI-Detector model can be used to identify all components of a software/website's user interface during automated testing. For example, the model can identify the existence, placement, and functionality of key UI components like buttons, text fields, and checkboxes.
Accessibility Assessment: The model can assist in evaluating and improving the accessibility of a web or software UI by identifying all of its components and assessing how easy they are to use, especially for users with special needs.
Interactive Documentation Creation: The UI-Detector model can automatically generate interactive documentation for software by taking screenshots of the application and identifying each UI component, creating a more engaging and intuitive learning experience for new users.
User Interface Design Analysis: Designers can use the model to automatically analyze a UI design, identifying problematic components such as misplaced buttons or lacking necessary forms and providing suggestions for improvements.
Competitors Analysis: The model can be utilized to evaluate competitors' user interfaces, identifying distinct features that can be used as a reference for improving own UI designs.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            ui-detector-eulxp_dataset,
                            title = { UI-Detector Dataset },
                            type = { Open Source Dataset },
                            author = { Tunis Business School },
                            howpublished = { \url{ https://universe.roboflow.com/tunis-business-school-t3rrg/ui-detector-eulxp } },
                            url = { https://universe.roboflow.com/tunis-business-school-t3rrg/ui-detector-eulxp },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-05-01 },
                            }