Thermal Image Dataset of cats for their health monitoring and classification

The Thermal Imaging Cats’ Dataset (TICD) is a novel multimodal dataset designed to advance AI-based feline health monitoring. It consists of 1,899 thermal images and 527 digital images collected from 94 cats across diverse environments in Saudi Arabia, including both indoor (controlled) and outdoor (uncontrolled) settings.<br>Key Features:Paired Thermal &amp; Digital Images: Each thermal image is linked to a corresponding digital image for cross-modal analysis.<br>Health Status Labels: Includes 81 healthy and 13 symptomatic cases for binary classification (healthy vs. sick).<br>Environmental Variability: Captures different lighting and temperature conditions for robust model training.<br>Anomaly Documentation: Digital images help correlate thermal patterns with visible signs (e.g., wounds, swelling).