Website Elements Computer Vision Project

Augmented Startups

Updated 2 years ago

2.2k

views

downloads

Metrics

Try This Model

Drop an image or

browse your device

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

Augmented Startups

YOLOR Object Detection Course

Website Elements with YOLOR

YouTube video displaying the model.

Augmented Startups YouTube.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Try In Browser Deploy Model

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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 2024-12-22 },
                            }