Collecting paired RGB-thermal images for training poses several practical challenges. One major challenge is ensuring accurate alignment between RGB and thermal modalities during data collection to avoid misalignment issues that could affect model performance. Another challenge is obtaining a diverse dataset that captures various scenes under different lighting conditions, temperatures, and environmental settings to ensure robustness in model generalization. Additionally, maintaining consistency in calibration between RGB and thermal cameras throughout data collection is essential but can be technically demanding.