Visual Geometry Group (VGG)

The Visual Geometry Group (VGG) is a research team at the University of Oxford specializing in computer vision and machine learning. They developed influential deep learning models for image recognition, notably VGGNet, which uses a simple, consistent structure of layered filters to help computers identify objects in images accurately. Their work emphasizes depth and simplicity in neural network design, making it easier for machines to learn complex visual patterns, and has significantly advanced the field of image analysis and artificial intelligence.