The model was implemented on two distinct datasets, namely the SBMnet dataset [36] and the SBI dataset [22]. The SBMnet dataset was chosen for its ability to provide a diverse set of videos that cover a wide range of challenges in scene background modeling. This dataset is representative of typical indoor and outdoor visual data captured in surveillance, smart environment, and video database scenarios. It comprises 79 videos, including those from public datasets such as CDnet, LIMU, CMU, ATON, Fish4Knowledge, UCF, and MIT, among others. It is a realistic and diverse dataset that presents various challenges, including Basic, Intermittent Motion, Clutter, Jitter, Illumination Changes, Background Motion, Very Long, and Very Short. Conversely, the SBI dataset contains a sizable amount of data extracted from publicly available sequences

help me polish the following sentence with academic stylehe model was executed on two datasets the SBMnet dataset 361and and the SBI dataset 22 The SBMnet dataset provides a diverse set of videos The

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