PestMango: A Multi-Source Dataset for Mango Pest Classification

This repository provides the source provenance and documentation for the PestMango multi-source image dataset developed for mango pest classification. PestMango contains 18 pest classes divided into two subsets: a Global subset and a Gaza-Relevant subset. The accompanying files document the class information, image counts, and original data sources used in constructing the dataset. This repository supports reproducibility and transparency for research on automated pest classification using deep learning and hybrid CNN–Transformer architectures.