Datasets:
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---
license: mit
dataset_info:
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: width
dtype: int64
- name: height
dtype: int64
- name: url
dtype: 'null'
- name: date_captured
dtype: string
- name: objects
list:
- name: area
dtype: int64
- name: bbox
sequence: int64
- name: category_id
dtype: int64
- name: id
dtype: int64
- name: image_id
dtype: int64
- name: iscrowd
dtype: int64
- name: segmentation
sequence: 'null'
splits:
- name: test
num_bytes: 22424625
num_examples: 242
- name: train
num_bytes: 159535409.08
num_examples: 1688
- name: valid
num_bytes: 46104875
num_examples: 482
download_size: 201411511
dataset_size: 228064909.08
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: train
path: data/train-*
- split: valid
path: data/valid-*
task_categories:
- object-detection
language:
- en
tags:
- web
- website
---
# Website Screenshots Image Dataset
<!-- Provide a quick summary of the dataset. -->
This dataset is obtainable [here from roboflow.](https://universe.roboflow.com/roboflow-gw7yv/website-screenshots).
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Language(s) (NLP):** [English]
- **License:** [MIT]
### Dataset Sources
<!-- Provide the basic links for the dataset. -->
- **Source:** [https://universe.roboflow.com/roboflow-gw7yv/website-screenshots/dataset/1]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
From the roboflow website:
> 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.
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
The Roboflow Website Screenshots dataset is a synthetically generated dataset composed of screenshots from over 1000 of the world's top websites
### Annotations
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
- 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.
#### label2id
```python
label2id = {
'button': 1,
'elements': 0,
'field': 2,
'heading': 3,
'iframe': 4,
'image': 5,
'label': 6,
'link': 7,
'text': 8
}
```
#### id2label
```python
id2label = {
0: 'elements',
1: 'button',
2: 'field',
3: 'heading',
4: 'iframe',
5: 'image',
6: 'label',
7: 'link',
8: 'text'
}
``` |