Website Screenshots Computer Vision Project
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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:
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
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Cite This Project
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 },
}