Data for training such models for practical use are difficult to get. Often, one has to train a model on a different but related dataset that contains your object of interest and ensure that your model generalizes well. These models are highly sensitive to the data that they are trained on, so it is best if you can gather data which is closer to the actual environment (in which you want to use the model).