CoralSCOP-LAT is an advanced machine learning tool designed to automate the segmentation and analysis of coral reef imagery, critical for monitoring ecosystem health. While the backend utilises powerful AI to generate dense segmentation masks, the complexity of the data required a user-friendly frontend.

We was engaged to revamp the entire system interface and user flow. We translated sophisticated scientific requirements into a clean, intuitive dashboard that allows researchers to label and analyse imagery with minimal effort. Our team delivered the complete UI design and front-end HTML/CSS, ensuring the platform is not only powerful but also accessible.

Need to transform complex data into an intuitive user experience? Contact us today to discuss your next interface design project. Let' Talk