Website Screenshots Computer Vision Project

Brad Dwyer

Updated 2 years ago

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Description

About This Dataset

The Roboflow Website Screenshots dataset is a synthetically generated dataset composed of screenshots from over 1000 of the world's top websites. They have been automatically annotated to label the following classes: :fa-spacer:

  • button - navigation links, tabs, etc.
  • heading - text that was enclosed in <h1> to <h6> tags.
  • link - inline, textual <a> tags.
  • label - text labeling form fields.
  • text - all other text.
  • image - <img>, <svg>, or <video> tags, and icons.
  • iframe - ads and 3rd party content.

Example

This is an example image and annotation from the dataset: WIkipedia Screenshot

Usage

Annotated screenshots are very useful in Robotic Process Automation. But they can be expensive to label. This dataset would cost over $4000 for humans to label on popular labeling services. We hope this dataset provides a good starting point for your project. Try it with a model from our model library.

Collecting Custom Data

Roboflow is happy to provide a custom screenshots dataset to meet your particular needs. We can crawl public or internal web applications. Just reach out and we'll be happy to provide a quote!

About Roboflow

Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless. :fa-spacer: Developers reduce 50% of their boilerplate code when using Roboflow's workflow, save training time, and increase model reproducibility. :fa-spacer:

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

Supervision

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Cite This Project

LICENSE
MIT

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

                        @misc{
                            website-screenshots_dataset,
                            title = { Website Screenshots Dataset },
                            type = { Open Source Dataset },
                            author = { Brad Dwyer },
                            howpublished = { \url{ https://universe.roboflow.com/roboflow-gw7yv/website-screenshots } },
                            url = { https://universe.roboflow.com/roboflow-gw7yv/website-screenshots },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-11-17 },
                            }