Hi @KFrank,
My second dataset was developed to a similar problem. However, its normalization parameters are a bit different due to the quality of the cameras and the weather. My expectation is to enhance the performance of the model in the first dataset, but supplementing it with the second dataset. I am not sure if this is possible or right. I did a few tests keeping the weights as you suggested, and the performance with the first dataset got worse. So, I thought of merging both datasets to train all together.