Galaxy Zoo Dataset

The Galaxy Zoo dataset, a massive collection of galaxy images initially classified by citizen scientists, serves as a crucial resource for advancing our understanding of galaxy morphology and evolution. Current research focuses on applying and refining machine learning techniques, particularly convolutional neural networks (CNNs) and variations like SpinalNet, to automate galaxy classification with high accuracy, often exploring the impact of different color spaces and ensemble methods. These efforts improve the efficiency and scalability of galaxy analysis, enabling astronomers to process the ever-increasing volume of astronomical data and uncover new insights into galactic structure and formation. The dataset's continued use in developing and benchmarking novel algorithms underscores its importance in the field of astroinformatics.