Generating Synthetic Data to Train an OCR Learning Algorithm

Coding and explaining the process of synthetic data generation to enhance the accuracy of an OCR learning algorithm

Effect of data augmentation. Source: author.

One of the most reliable ways to enhance the performance of a low bias learning algorithm is to train it on a massive amount of data. Despite the process of acquiring additional data may seem a costly endeavor, there exists a fascinating technique that allows machine learning practitioners to generate a potentially infinite amount of artificial …

algorithm algorithms computer vision data data science learning ocr python random-forest synthetic data