README.md

metadata

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.