Hierarchical Image Classification

A multi-level visual classification problem in which class labels are organized in a parent-child taxonomy.

Hierarchical image classification is important in structures such as large product catalogs, biological taxonomies, and document category trees. The model must answer not only "what is this" but also "which parent class and which subcategory does it belong to." This makes error analysis more meaningful and aligns results more closely with human decision processes. However, multi-level label design and loss selection make the task more complex.