dataset-v2 Object Detection Dataset and Pre-Trained Model by UIbitz

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Explore Dataset

Here are a few use cases for this project:

Automated Web Design Analysis: By identifying various UI elements, dataset-v2 can help designers and developers analyze existing web designs for improvements or optimization, providing insights on the UI structure, accessibility, and user-friendliness.
Content Management System (CMS) Auto-tagging: Integrate dataset-v2 with a CMS to automatically scan and tag visual elements within web pages, simplifying asset management and organization for website developers and content creators.
Accessibility Compliance: Dataset-v2 can analyze websites to ensure proper UI elements usage, helping organizations adhere to accessibility guidelines and standards, such as the Web Content Accessibility Guidelines (WCAG).
Prototype Testing and Feedback: Dataset-v2 can help UX/UI designers evaluate prototypes by identifying UI components and their placement, offering objective feedback and highlighting areas for improvement in the design process.
Competitive Analysis and Web Scraping: Dataset-v2 can identify UI elements across multiple websites, empowering businesses to analyze competitor websites and extract valuable design patterns, best practices, and trends for UI/UX applications.

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{
                            dataset-v2_dataset,
                            title = { dataset-v2 Dataset },
                            type = { Open Source Dataset },
                            author = { UIbitz },
                            howpublished = { \url{ https://universe.roboflow.com/uibitz/dataset-v2 } },
                            url = { https://universe.roboflow.com/uibitz/dataset-v2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-06-15 },
                            }