Website Screenshots Computer Vision Project

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:

  • 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.


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


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.
Developers reduce 50% of their boilerplate code when using Roboflow's workflow, save training time, and increase model reproducibility.

Roboflow Wordmark

Cite this Project

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

@misc{ website-screenshots-archived_dataset,
    title = { Website Screenshots Dataset },
    type = { Open Source Dataset },
    author = { Brad Dwyer },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2020 },
    month = { may },
    note = { visited on 2022-10-04 },


Brad Dwyer


Brad Dwyer

Last Updated

2 years ago

Project Type

Object Detection




button, field, heading, iframe, image, label, link, text