Practical Guide To Data Augmentation In Computer Vision

FS Ndzomga
4 min readJun 27, 2023
Photo by Radek Grzybowski on Unsplash

Data augmentation in computer vision is a technique used to artificially expand the size of a training dataset by creating modified versions of images in the dataset. It is a form of regularization and a strategy to prevent overfitting, thus improving the model’s ability to generalize to new data. The idea is to alter the training data in ways that change the array representation while keeping…

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FS Ndzomga

Engineer passionate about data science, startups, product management, philosophy and French literature. Built lycee.ai, discute.co and rimbaud.ai