README.md

---
pretty_name: UI/UX User Flows Dataset
tags:
- ui-ux
- user-flows
- user-interface
- user-experience
- mobile-apps
- ios
- android
- websites
- web-applications
- screen-design
- app-navigation
- interaction-design
- user-journey
- ux-research
- interface-design
- jpg
- image-dataset
- artificial-intelligence
- machine-learning
- computer-vision
license: cc-by-4.0
---

# UI/UX User Flows Dataset

## Overview

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.

The dataset includes four categories: iOS Apps & Screens, Android Apps & Screens, Websites & Screens, and Web Application UI/UX.

It contains JPG image assets representing application and website interfaces. The dataset also includes TXT documentation describing complete screen-by-screen user navigation sequences.

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.

## Dataset Highlights

- **1.35 Million Assets:** Overall asset count reported in the dataset overview.
- **Four Categories:** iOS, Android, Web, and Web Applications.
- **Mobile Application Coverage:** Interface screens and user flows for iOS and Android applications.
- **Website Coverage:** Website interfaces and screen-level UI/UX assets.
- **Web Application Coverage:** Application interfaces and complete user flows.
- **Complete User Flows:** Screen-by-screen navigation sequences documented in TXT files.
- **JPG Image Assets:** Interface images provided in JPG format.

## Dataset Categories

### 1. iOS Apps & Screens

Contains native iOS application interfaces, user journeys, and shipped screens.

Reported statistics:
- 3,500 Apps
- 370,000 Screens
- 50,000 Complete Flows
- 370,000 Shipped Screens

### 2. Android Apps & Screens

Contains Android application interfaces covering user journeys and shipped screens.

Reported statistics:
- 1,200 Apps
- 150,000 Screens
- 30,000 Complete Flows
- 150,000 Shipped Screens

### 3. Websites & Screens

Contains website interfaces and screen-level UI/UX assets.

Reported statistics:
- 7,300 Websites
- 15,000 Screens

### 4. Web Application UI/UX

Contains web application interfaces covering screens and complete user flows.

Reported statistics:
- 850 Apps
- 190,000 Screens
- 12,000 Complete Flows

## Dataset Features

| Feature | Description |
|---|---|
| Dataset name | UI/UX User Flows Dataset |
| Categories | iOS, Android, Web, Web App |
| Main asset type | UI/UX interface screens |
| Image format | JPG |
| User flow documentation | TXT |
| User journeys | Complete screen-by-screen navigation sequences |
| Applications covered | Mobile apps and web applications |
| Website coverage | Website interfaces and screens |

## User Flow Documentation

The dataset includes TXT documentation describing complete user navigation flows.

These documents provide screen-by-screen sequences representing how users navigate through applications and interfaces.

The documented flows complement the visual interface assets and provide information about user journeys and navigation paths.

## Dataset Statistics

The following statistics are reported in the provided dataset overview.

### Overall Dataset Statistics

| Metric | Reported Value |
|---|---:|
| Total Categories | 4 |
| Total Asset Count | 1.35 Million |

### Category-wise Distribution

| Category | Dataset Type | Asset Count |
|---|---|---:|
| iOS | Apps | 3,500 |
| iOS | Screens | 370,000 |
| iOS | Complete Flows | 50,000 |
| iOS | Shipped Screens | 370,000 |
| Android | Apps | 1,200 |
| Android | Screens | 150,000 |
| Android | Complete Flows | 30,000 |
| Android | Shipped Screens | 150,000 |
| Web | Websites | 7,300 |
| Web | Screens | 15,000 |
| Web | Complete Flows | 0 |
| Web App | Apps | 850 |
| Web App | Screens | 190,000 |
| Web App | Complete Flows | 12,000 |


## Supported AI and Research Tasks

The dataset may support research and development involving:

- UI/UX interface understanding
- User journey analysis
- Screen sequence understanding
- Application navigation analysis
- Mobile application interface analysis
- Website interface understanding
- Web application analysis
- User flow analysis
- Interface screen classification
- Visual interface understanding


## Applications

Potential applications include:

- AI-powered UI/UX analysis
- User journey understanding
- Application navigation research
- Interface design analysis
- Automated interface understanding
- Mobile application analysis
- Website and web application analysis
- User experience research
- AI-assisted interface development
- Training and evaluation of interface-understanding systems

## Industries and Use Cases

The dataset may be relevant to organizations and teams working in:

- Software development
- Mobile application development
- Web development
- UI/UX design
- Product design
- User experience research
- Artificial intelligence
- Machine learning
- Human-computer interaction

## File Formats

The confirmed file formats are:

| Extension | Content |
|---|---|
| `.jpg` | UI/UX interface images and screen assets |
| `.txt` | Complete user flow and screen-by-screen navigation documentation |

## Sample Availability

Sample files are available for users who want to explore the dataset's interface assets and user flow documentation.

The samples provide an opportunity to review the visual UI/UX content and associated user navigation information.

## Intended Audience

This dataset may be relevant to:

- AI and machine learning researchers
- Computer vision researchers
- UI/UX designers
- Product designers
- Mobile application developers
- Web developers
- User experience researchers
- Human-computer interaction researchers
- Software engineering teams
- Enterprise AI development teams
- Academic institutions


## Summary

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.

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.