Method Of Training Object Prediction Models Using Ambiguous Labels

Disclosed is a method of training an object prediction model by using input data and a discrimination label including a plurality of discrimination information by a computing device including at least one processor which is a training method including: generating a prediction label based on the input data by using the prediction model; generating a loss value based on a discrimination label corresponding to the input data and the prediction label; and training the prediction model based on the loss value.