Główne pojęcia
Synthetic data can effectively substitute real-world data in training models without compromising performance.
Statystyki
Synthetic data can replace up to 80% of MOT17 data without compromising performances.
Synthetic datasets with similarities to target datasets enhance model performance.
Cytaty
"Synthetic data not only enhances model performance but also demonstrates substitutability for real data."
"Our results suggest that synthetic datasets with apparent similarities in complexity tend to enhance model performance."