Augmented Startups

Website Elements

Object Detection


Website Elements Computer Vision Project

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Explore Dataset

Real-time Web Page Code Generation using YOLOR Framework

This model by Augmented Startups allows you to generate a web page instantly by detecting visual elements on a whiteboard.

Classes include:

short_paragraph: 2,105 annotations button: 1,968 annotations header: 1,948 annotations banner: 1,859 annotations long_paragraph: 1,307 annotations form: 1,202 annotations logo: 931 annotations

Augmented Startups

YOLOR Object Detection Course

Website Elements with YOLOR

YouTube video displaying the model.

Augmented Startups YouTube.

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:

                            title = { Website Elements Dataset },
                            type = { Open Source Dataset },
                            author = { Augmented Startups },
                            howpublished = { \url{ } },
                            url = { },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-02-21 },

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Website Elements project in your project.

Last Updated

2 years ago

Project Type

Object Detection




banner button form header logo long_paragraph short_paragraph

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CC BY 4.0