MIT Places Dataset

The MIT Places Dataset is a large collection of millions of images labeled with information about their locations and environments, such as city streets, parks, or restaurants. Created by researchers at MIT, it helps computers recognize and categorize different types of places in pictures. This dataset is used to train machine learning models so they can understand and interpret real-world scenes, enabling applications like improved navigation, photo organization, and scene understanding in various technologies.