Can Synthetic Data Replace Real Data?

Synthetic data has given researchers a way to navigate the ethical challenges of using sensitive real data.

Machine learning has several critical applications when it comes to human facial and action recognition. For instance, models can be trained on image data to recognize signs of diseases and to predict potential accidents in the infrastructure before they even happen.

However, training machine learning models for these applications becomes difficult when we don’t have enough data to represent certain scenarios, especially when …

accidents action recognition applications artificial intelligence challenges data data science diseases ethical ethics-in-tech human image image data infrastructure instance machine machine learning real data recognition researchers synthetic synthetic data