A company has built a highly accurate model for detecting objects in urban scenes. They now want to adapt this model for rural scenes. Instead of training a new model from scratch, how can they utilize their existing model?

To adapt the model for rural scenes, fine-tuning the existing model is a practical approach. Fine-tuning involves training the model on the new rural scene data, which allows the model to leverage its knowledge from the urban scene while adapting to rural conditions.