ButtonDetection2 Object Detection Dataset and Pre-Trained Model by Elsa Weber

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Explore Dataset

Here are a few use cases for this project:

Accessibility Enhancement: ButtonDetection2 can be used to improve the accessibility of websites and apps for visually impaired users. By identifying clickable elements such as links, buttons, and fields, the model can help screen readers and other assistive technologies better understand the interface and guide users through the navigation process more effectively.
Automated UI Testing: ButtonDetection2 can be employed to automate user interface testing for websites and apps. By identifying clickable elements, the model can streamline the testing process by automatically clicking buttons, links, and fields to ensure that they function as expected, reducing manual efforts and speeding up the overall QA process.
UX Analysis and Optimization: ButtonDetection2 can be used by UX designers and developers to analyze and optimize the design of websites and apps. By detecting clickable elements, the model can help identify areas of the interface that may be confusing or difficult for users to interact with, providing insights for designing more user-friendly experiences.
Web Scraping/Data Extraction: ButtonDetection2 can be employed for web scraping and data extraction tasks. The model can identify clickable elements within webpages, facilitating automated extraction of relevant data such as product details, contact information, or event details by navigating through the appropriate links, buttons, and fields within the site.
Augmented Reality Navigation: ButtonDetection2 can be integrated into augmented reality applications to enhance real-world interactions with digital interfaces. By detecting clickable elements such as buttons and links, the model can overlay visual indicators or audio cues on top of the real-world view, providing users with a more intuitive way to interact with digital interfaces in AR environments.

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{
                            buttondetection2_dataset,
                            title = { ButtonDetection2 Dataset },
                            type = { Open Source Dataset },
                            author = { Elsa Weber },
                            howpublished = { \url{ https://universe.roboflow.com/elsa-weber/buttondetection2 } },
                            url = { https://universe.roboflow.com/elsa-weber/buttondetection2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-04-30 },
                            }