Website Elements Computer Vision Project

TRY THIS MODEL
Drop an image or

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.

Cite this Project

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

@misc{ website-elements-nmmi7_dataset,
    title = { Website Elements Dataset },
    type = { Open Source Dataset },
    author = { Augmented Startups },
    howpublished = { \url{ https://universe.roboflow.com/augmented-startups/website-elements-nmmi7 } },
    url = { https://universe.roboflow.com/augmented-startups/website-elements-nmmi7 },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { jul },
    note = { visited on 2022-11-27 },
}

Last Updated

4 months ago

Project Type

Object Detection

Subject

Website-objects

Classes

banner, button, form, header, logo, long_paragraph, short_paragraph

License

CC BY 4.0