The main advantages of synthetic data
As we have seen so far, synthetic data has a wide set of applications because of its enormous advantages. Let’s highlight some of these advantages:
- Unbiased
- Diversity
- Data controllability
- Scalable
- Automatic data generation
- Automatic data labeling
- Annotation quality
- Low cost
Figure 5.1 highlights some of the key benefits:
![Figure 5.1 – The main advantages of synthetic data](https://static.packt-cdn.com/products/9781803245409/graphics/image/Figure_05_01_B18494.jpg)
Figure 5.1 – The main advantages of synthetic data
Next, we will delve into each of these advantages. We will see the limitations of real data and how synthetic data is a solution.
Unbiased
Real data is curated and annotated by human annotators. In practice, it is easy for humans, intentionally or accidentally, to neglect or overemphasize certain groups in the population based on some attributes, such as ethnicity, skin color, gender, age, or political views. This creates a biased dataset that negatively affects both training and testing...