The SRD model was tested on four different datasets to detect salient regions in images. The model uses dictionaries of salient and non-salient regions to identify important areas in pictures. The researchers evaluated the model's performance on various standard datasets, including ASD, 3ECSSD, DUT-OMRON, and SED2. The findings show that the SRD model can effectively detect salient regions in images, providing a useful tool for image analysis and processing.