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--- |
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license: cc-by-nc-4.0 |
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tags: |
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- computer-vision |
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- mobile-ui |
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- ios |
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- multimodal |
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- layout-analysis |
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- vision-language |
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task_categories: |
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- object-detection |
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- image-classification |
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- other |
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language: |
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- en |
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pretty_name: iOS-1K-Mobile-UI-Dataset |
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--- |
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# iOS-1K-Mobile-UI-Dataset |
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## Overview |
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**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. |
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Each screen is paired with **human-validated structured JSON ground truth annotations**, enabling research in UI understanding, layout analysis, and multimodal modeling. |
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The dataset includes: |
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- Simple layouts (e.g., login, onboarding screens) |
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- Visually dense interfaces (e.g., feeds, checkout flows) |
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- Structured UI element annotations |
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- Bounding boxes for UI components |
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- Element type labels |
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- Clickability attributes |
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- Text content for text-bearing elements |
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--- |
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## Dataset Structure |
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``` |
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ios-ui-dataset/ |
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│ |
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├── images/ |
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│ ├── 0001.png |
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│ ├── 0002.png |
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│ └── ... |
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│ |
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├── annotations/ |
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│ ├── 0001.json |
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│ ├── 0002.json |
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│ └── ... |
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│ |
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├── metadata.csv |
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├── README.md |
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└── dataset_infos.json |
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``` |
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--- |
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## Metadata Format |
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The `metadata.csv` file provides mapping between images and annotations: |
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| screen_id | image_file | annotation_file | |
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|-----------|------------------|--------------------------| |
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| 0001 | images/0001.png | annotations/0001.json | |
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| 0002 | images/0002.png | annotations/0002.json | |
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--- |
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--- |
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## Example Screen |
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Below is a sample Eleven Reader App’s login screen from the Dataset : |
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<div align="center"> |
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<img src="images/0001.png" width="250"> |
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</div> |
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--- |
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## Annotation Format |
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Each JSON annotation follows a structured schema: |
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```json |
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{ |
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"screen_id": "0001", |
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"elements": [ |
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{ |
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"id": 1, |
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"type": "button", |
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"bbox": [x, y, width, height], |
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"text": "Login", |
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"clickable": true |
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} |
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] |
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} |
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``` |
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Each element includes: |
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- `type`: UI component category (e.g., button, text, image) |
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- `bbox`: Bounding box coordinates |
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- `text`: Visible text content (if applicable) |
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- `clickable`: Boolean interaction label |
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--- |
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## Intended Use Cases |
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This dataset is designed for: |
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- Mobile UI understanding |
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- Layout parsing and structural analysis |
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- UI element detection |
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- Vision–language modeling |
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- Multimodal LLM grounding |
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- Autonomous UI agent research |
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--- |
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## Download Instructions |
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You can download the dataset using the Hugging Face Hub: |
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```python |
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from huggingface_hub import snapshot_download |
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snapshot_download( |
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repo_id="atharparvezce/iOS-1K-Mobile-UI-Dataset", |
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repo_type="dataset", |
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local_dir="./iOS-1K-Mobile-UI-Dataset" |
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) |
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``` |
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--- |
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## Limitations |
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- Covers only iOS platform interfaces |
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- Contains 1,000 screens in the current release |
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- Category distribution reflects App Store sampling |
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- UI copyrights remain with original application developers |
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--- |
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## Future Work |
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We are actively working on extending the **iOS-1K-Mobile-UI-Dataset** with: |
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- Additional UI screens across more application categories |
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- Increased dataset scale beyond 1,000 screens |
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- More detailed attribute-level annotations |
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- Expanded layout complexity coverage |
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- Benchmark splits for training and evaluation |
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Our goal is to develop this into a larger benchmark for mobile UI understanding and multimodal research. |
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If you are interested in collaboration, contributing to the dataset, or using extended versions for research purposes, please feel free to reach out: |
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📧 **atharparvezce@gmail.com** |
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--- |
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## License |
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This dataset is released under the **Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)** license. |
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- Attribution required |
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- Non-commercial use only |
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The dataset is intended strictly for academic and research purposes. |
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No personal user data is included. |
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--- |
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## Citation |
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If you use this dataset in your research, please cite: |
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```bibtex |
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@dataset{ios_1k_mobile_ui_dataset_2026, |
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title = {iOS-1K-Mobile-UI-Dataset: A Human-Validated iOS UI Benchmark}, |
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author = {Athar Parvez}, |
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year = {2026}, |
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publisher = {Hugging Face}, |
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url = {https://huggingface.co/datasets/atharparvezce/iOS-1K-Mobile-UI-Dataset} |
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} |
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``` |
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