In one implementation, a method of generating environment states is performed by a device including one or more processors and non-transitory memory. The method includes displaying a computer-generated reality (CGR) environment including an asset associated with a neural network model and having a plurality of asset states. The method includes receiving a user input indicative of a training request. The method includes selecting, based on the user input, a training focus indicating one or more of the plurality of asset states. The method includes generating a set of training data including a plurality of training instances weighted according to the training focus. The method includes training the neural network model on the set of training data.
TRAINING A MODEL WITH HUMAN-INTUITIVE INPUTS