Data Augmentation in YOLOv4

What is data augmentation? | IBM

Insightforge | AI & Data Science on Instagram: "AlexNet, developed by Alex Krizhevsky and team in 2012, marked a major breakthrough in deep learning by delivering state-of-the-art results on large-scale image classification benchmarks like the ImageNet competition. To tackle overfitting - where a model memorizes training data instead of learning general patterns - AlexNet introduced several innovative techniques. One of the most impactful was dropout, which randomly disables a portion of neurons