What is VGG?

VGG (Visual Geometry Group) is a convolutional neural network architecture notable for its depth and uniform structure. It primarily uses 3x3 convolutional filters and 2x2 max pooling layers throughout the entire network. VGG models, such as VGG16 and VGG19, are commonly used as feature extractors in image classification, object detection, and image segmentation tasks. They have also been used as a backbone for more complex architectures and transfer learning due to their robust and well-understood features.