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:

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:

                        @misc{
                            website-screenshots-archived_dataset,
                            title = { Website Screenshots Dataset },
                            type = { Open Source Dataset },
                            author = { Brad Dwyer },
                            howpublished = { \url{ https://universe.roboflow.com/brad-dwyer/website-screenshots-archived } },
                            url = { https://universe.roboflow.com/brad-dwyer/website-screenshots-archived },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2020 },
                            month = { may },
                            note = { visited on 2024-11-21 },
                            }