Datasets:

atharparvezce
/

iOS-1K-Mobile-UI-Dataset

license: cc-by-nc-4.0
tags:
  - computer-vision
  - mobile-ui
  - ios
  - multimodal
  - layout-analysis
  - vision-language
task_categories:
  - object-detection
  - image-classification
  - other
language:
  - en
pretty_name: iOS-1K-Mobile-UI-Dataset

iOS-1K-Mobile-UI-Dataset

Overview

iOS-1K-Mobile-UI-Dataset is a curated dataset of 1,000 real-world iOS mobile UI screens collected from diverse application categories available on the Apple App Store.

Each screen is paired with human-validated structured JSON ground truth annotations, enabling research in UI understanding, layout analysis, and multimodal modeling.

The dataset includes:

Simple layouts (e.g., login, onboarding screens)
Visually dense interfaces (e.g., feeds, checkout flows)
Structured UI element annotations
Bounding boxes for UI components
Element type labels
Clickability attributes
Text content for text-bearing elements

Dataset Structure

ios-ui-dataset/
│
├── images/
│   ├── 0001.png
│   ├── 0002.png
│   └── ...
│
├── annotations/
│   ├── 0001.json
│   ├── 0002.json
│   └── ...
│
├── metadata.csv
├── README.md
└── dataset_infos.json

Metadata Format

The metadata.csv file provides mapping between images and annotations:

screen_id	image_file	annotation_file
0001	images/0001.png	annotations/0001.json
0002	images/0002.png	annotations/0002.json

Example Screen

Below is a sample Eleven Reader App’s login screen from the Dataset :

Annotation Format

Each JSON annotation follows a structured schema:

{
  "screen_id": "0001",
  "elements": [
    {
      "id": 1,
      "type": "button",
      "bbox": [x, y, width, height],
      "text": "Login",
      "clickable": true
    }
  ]
}

Each element includes:

type: UI component category (e.g., button, text, image)
bbox: Bounding box coordinates
text: Visible text content (if applicable)
clickable: Boolean interaction label

Intended Use Cases

This dataset is designed for:

Mobile UI understanding
Layout parsing and structural analysis
UI element detection
Vision–language modeling
Multimodal LLM grounding
Autonomous UI agent research

Download Instructions

You can download the dataset using the Hugging Face Hub:

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="atharparvezce/iOS-1K-Mobile-UI-Dataset",
    repo_type="dataset",
    local_dir="./iOS-1K-Mobile-UI-Dataset"
)

Limitations

Covers only iOS platform interfaces
Contains 1,000 screens in the current release
Category distribution reflects App Store sampling
UI copyrights remain with original application developers

Future Work

We are actively working on extending the iOS-1K-Mobile-UI-Dataset with:

Additional UI screens across more application categories
Increased dataset scale beyond 1,000 screens
More detailed attribute-level annotations
Expanded layout complexity coverage
Benchmark splits for training and evaluation

Our goal is to develop this into a larger benchmark for mobile UI understanding and multimodal research.

If you are interested in collaboration, contributing to the dataset, or using extended versions for research purposes, please feel free to reach out:

📧 atharparvezce@gmail.com

License

This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.

Attribution required
Non-commercial use only

The dataset is intended strictly for academic and research purposes. No personal user data is included.

Citation

If you use this dataset in your research, please cite:

@dataset{ios_1k_mobile_ui_dataset_2026,
  title     = {iOS-1K-Mobile-UI-Dataset: A Human-Validated iOS UI Benchmark},
  author    = {Athar Parvez},
  year      = {2026},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/atharparvezce/iOS-1K-Mobile-UI-Dataset}
}