Website Elements Computer Vision Project
Augmented Startups
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Description
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
YOLOR Object Detection Course
YouTube video displaying the model.
Augmented Startups YouTube.
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Cite This Project
LICENSE
CC BY 4.0 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 2025-06-18 },
}