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README.md
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license: cc-by-4.0
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---
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| 1 |
---
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pretty_name: UI/UX User Flows Dataset
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tags:
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- ui-ux
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- user-flows
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- user-interface
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- user-experience
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- mobile-apps
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- ios
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- android
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- websites
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- web-applications
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- screen-design
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- app-navigation
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- interaction-design
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- user-journey
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- ux-research
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- interface-design
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- jpg
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- image-dataset
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- artificial-intelligence
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- machine-learning
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- computer-vision
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license: cc-by-4.0
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---
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# UI/UX User Flows Dataset
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## Overview
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+
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The **UI/UX User Flows Dataset** is a collection of user interface screens and complete user navigation flows covering mobile applications, websites, and web applications.
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The dataset includes four categories: iOS Apps & Screens, Android Apps & Screens, Websites & Screens, and Web Application UI/UX.
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It contains JPG image assets representing application and website interfaces. The dataset also includes TXT documentation describing complete screen-by-screen user navigation sequences.
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With its combination of interface screens and documented user flows, the dataset is relevant to research and development involving UI/UX understanding, interface analysis, user journey analysis, application navigation, and AI-based interface understanding.
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## Dataset Highlights
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- **1.35 Million Assets:** Overall asset count reported in the dataset overview.
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- **Four Categories:** iOS, Android, Web, and Web Applications.
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- **Mobile Application Coverage:** Interface screens and user flows for iOS and Android applications.
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- **Website Coverage:** Website interfaces and screen-level UI/UX assets.
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- **Web Application Coverage:** Application interfaces and complete user flows.
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- **Complete User Flows:** Screen-by-screen navigation sequences documented in TXT files.
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- **JPG Image Assets:** Interface images provided in JPG format.
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## Dataset Categories
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### 1. iOS Apps & Screens
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Contains native iOS application interfaces, user journeys, and shipped screens.
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Reported statistics:
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- 3,500 Apps
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- 370,000 Screens
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- 50,000 Complete Flows
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- 370,000 Shipped Screens
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### 2. Android Apps & Screens
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Contains Android application interfaces covering user journeys and shipped screens.
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Reported statistics:
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- 1,200 Apps
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- 150,000 Screens
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- 30,000 Complete Flows
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- 150,000 Shipped Screens
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### 3. Websites & Screens
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Contains website interfaces and screen-level UI/UX assets.
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Reported statistics:
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- 7,300 Websites
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- 15,000 Screens
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### 4. Web Application UI/UX
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Contains web application interfaces covering screens and complete user flows.
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Reported statistics:
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- 850 Apps
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- 190,000 Screens
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- 12,000 Complete Flows
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## Dataset Features
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| Feature | Description |
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|---|---|
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| Dataset name | UI/UX User Flows Dataset |
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| Categories | iOS, Android, Web, Web App |
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| Main asset type | UI/UX interface screens |
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| Image format | JPG |
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| User flow documentation | TXT |
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| User journeys | Complete screen-by-screen navigation sequences |
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| Applications covered | Mobile apps and web applications |
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| Website coverage | Website interfaces and screens |
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## User Flow Documentation
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The dataset includes TXT documentation describing complete user navigation flows.
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These documents provide screen-by-screen sequences representing how users navigate through applications and interfaces.
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The documented flows complement the visual interface assets and provide information about user journeys and navigation paths.
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## Dataset Statistics
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The following statistics are reported in the provided dataset overview.
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### Overall Dataset Statistics
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| Metric | Reported Value |
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|---|---:|
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| Total Categories | 4 |
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| Total Asset Count | 1.35 Million |
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### Category-wise Distribution
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| Category | Dataset Type | Asset Count |
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|---|---|---:|
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| iOS | Apps | 3,500 |
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| iOS | Screens | 370,000 |
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| iOS | Complete Flows | 50,000 |
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| iOS | Shipped Screens | 370,000 |
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| Android | Apps | 1,200 |
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| Android | Screens | 150,000 |
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| Android | Complete Flows | 30,000 |
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| Android | Shipped Screens | 150,000 |
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| Web | Websites | 7,300 |
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| Web | Screens | 15,000 |
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| Web | Complete Flows | 0 |
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| Web App | Apps | 850 |
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| Web App | Screens | 190,000 |
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| Web App | Complete Flows | 12,000 |
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## Supported AI and Research Tasks
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The dataset may support research and development involving:
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- UI/UX interface understanding
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- User journey analysis
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- Screen sequence understanding
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- Application navigation analysis
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- Mobile application interface analysis
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- Website interface understanding
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- Web application analysis
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- User flow analysis
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- Interface screen classification
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- Visual interface understanding
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## Applications
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Potential applications include:
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- AI-powered UI/UX analysis
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- User journey understanding
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- Application navigation research
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- Interface design analysis
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- Automated interface understanding
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- Mobile application analysis
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- Website and web application analysis
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- User experience research
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- AI-assisted interface development
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- Training and evaluation of interface-understanding systems
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## Industries and Use Cases
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The dataset may be relevant to organizations and teams working in:
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- Software development
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- Mobile application development
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- Web development
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- UI/UX design
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- Product design
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- User experience research
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- Artificial intelligence
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- Machine learning
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- Human-computer interaction
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## File Formats
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The confirmed file formats are:
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| Extension | Content |
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|---|---|
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| `.jpg` | UI/UX interface images and screen assets |
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| `.txt` | Complete user flow and screen-by-screen navigation documentation |
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## Sample Availability
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Sample files are available for users who want to explore the dataset's interface assets and user flow documentation.
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The samples provide an opportunity to review the visual UI/UX content and associated user navigation information.
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## Intended Audience
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This dataset may be relevant to:
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- AI and machine learning researchers
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- Computer vision researchers
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- UI/UX designers
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- Product designers
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- Mobile application developers
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- Web developers
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- User experience researchers
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- Human-computer interaction researchers
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- Software engineering teams
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- Enterprise AI development teams
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- Academic institutions
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## Summary
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The UI/UX User Flows Dataset brings together application and website interface screens with documented user navigation sequences across iOS, Android, Web, and Web Application categories.
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With JPG-based visual interface assets and TXT-based user flow documentation, it is relevant to UI/UX research, user journey analysis, interface understanding, application navigation, and AI-based software development research.
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