Designing an Annotation System for AI Dataset Generation
Overview
The Annotation System project aimed to revolutionize AI dataset generation by creating a robust tool that simplifies annotation processes and integrates advanced AI components. As a Product Designer, my role was pivotal in conceptualizing and designing an intuitive system that catered to the needs of annotation experts and administrators.
Problem Statement
The goal was to create an intuitive and efficient Annotation System that caters to the diverse needs of annotation experts, administrators, and end-users. The system needed to streamline the annotation process for various file types while integrating advanced AI components.
Responsibilities
1. Understanding User Needs
Conducted stakeholder interviews and user research to gather insights.
Developed user personas to empathize with the end-users' needs and pain points.
2. Ideation and Prototyping
Created low-fidelity prototypes for rapid iterations and feedback gathering.
Designed an intuitive information architecture to organize system features logically.
3. Design and User Experience
Crafted a visually appealing and user-friendly interface prioritizing accessibility.
Streamlined user flows for seamless navigation and task execution.
