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metadata
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

This dataset is obtainable here from roboflow..

Dataset Details

Dataset Description

  • Language(s) (NLP): [English]
  • License: [MIT]

Dataset Sources

Uses

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

The Roboflow Website Screenshots dataset is a synthetically generated dataset composed of screenshots from over 1000 of the world's top websites

Annotations

  • 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

label2id = {
  'button': 1,
  'elements': 0,
  'field': 2,
  'heading': 3,
  'iframe': 4,
  'image': 5,
  'label': 6,
  'link': 7,
  'text': 8
}

id2label

id2label = {
  0: 'elements',
  1: 'button',
  2: 'field',
  3: 'heading',
  4: 'iframe',
  5: 'image',
  6: 'label',
  7: 'link',
  8: 'text'
}