TICD: A Novel Thermal Imaging Cats’ Dataset for Non-Invasive Health Monitoring

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.Key Features:Paired Thermal & Digital Images: Each thermal image is linked to a corresponding digital image for cross-modal analysis.Health Status Labels: Includes 81 healthy and 13 symptomatic cases for binary classification (healthy vs. sick).Environmental Variability: Captures different lighting and temperature conditions for robust model training.Anomaly Documentation: Digital images help correlate thermal patterns with visible signs (e.g., wounds, swelling).热成像猫咪数据集（TICD）是一款新颖的多模态数据集，旨在推动基于人工智能（AI）的猫咪健康监测研究发展。该数据集包含1899张热成像图像与527张数码图像，采集自沙特阿拉伯不同环境下的94只猫咪，涵盖室内（可控环境）与室外（非可控环境）两种场景。 核心特性： 成对热成像与数码图像：每一张热成像图像均配有对应的数码图像，可用于跨模态分析研究。 健康状态标签：涵盖81例健康样本与13例有症状样本，支持健康与患病的二分类任务。 环境多样性：覆盖不同光照与温度条件，可用于训练鲁棒性更强的模型。 异常关联标注：数码图像可辅助将热成像特征与可见异常体征（如伤口、肿胀）进行关联匹配。