ADE20K
ADE20K is a large-scale image dataset used for semantic segmentation and scene parsing. It provides pixel-accurate annotations for a diverse collection of everyday scenes, enabling detailed labeling of both objects and region categories. The dataset is widely used as a benchmark to develop and evaluate scene understanding algorithms.
Size and labeling: ADE20K contains about 20,000 images annotated with labels for 150 semantic categories. The
Origin and splits: The dataset was introduced in 2017 by researchers to provide a challenging, diverse benchmark
Impact and usage: ADE20K serves as a standard benchmark for state-of-the-art semantic segmentation models and related