🏊 UM-SWIM-360

Where AI meets the water.

University of Malta · Faculty of ICT

We build AI, computer vision, and data-driven technologies for swimming — turning movement, video, and performance data into insights that help us understand how swimmers move, perform, and improve.

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🌊 From water to data

Swimming is fast, complex, and constantly changing.

Our research uses computer vision, deep learning, multimodal data, and Explainable AI to capture what happens beneath the surface — from body movement and technique to performance patterns that are difficult to see with the naked eye.

See the movement. Understand the data. Improve the swim.

👁️ Computer Vision Video · Pose · Kinematics

🧠 Deep Learning Detection · Recognition · Analysis

🔗 Multimodal AI Video · Sensors · Performance

🔍 Explainable AI Interpretation · Insight · Trust

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🤗 Open Research

This organisation hosts selected datasets, models, experiments, and research software developed through our work.

We share these resources to support reproducibility, collaboration, and further research within the AI and sports-science communities.

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⚠️ Data & Source Policy

Research involving athlete data is released progressively following appropriate anonymisation, privacy, ethical, and data-sharing considerations.

Not all datasets, model weights, or research assets can be publicly released. Individual repositories provide further information where access restrictions apply.

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UM-SWIM-360 · University of Malta · Faculty of ICT
Artificial Intelligence × Computer Vision × Swimming