Why does a car-recognition system trained on 100,000 synthetic images from only ~20 car designs fail to generalize?

True or False: Realistic-looking synthetic images guarantee good generalization if enough images are generated.

If 100,000 training images all come from ~20 car designs, the system will _____ to those specific designs.

Match each dataset property in the synthetic car example to its description.

Order the reasoning steps explaining why the synthetic car training data leads to overfitting.

Explain why example count alone does not prevent overfitting in the synthetic car dataset.

Diagnose why a car-recognition model performs poorly despite strong training accuracy.

In one to three sentences, what does the ~20 car designs represent relative to the real-world distribution of cars?

Which change would most directly reduce the overfitting risk described in the synthetic car example?

True or False: This overfitting risk applies only to car recognition and not to other synthetic data generation approaches.