Soybean images dataset for caterpillar and pest detection and classification.

This article presents a dataset of insect-damaged soybean leaves. The capture of images was carried out on several soy farms, under realistic weather conditions, using two cell phones and a UAV. The dataset consists of 3 (three) folders with a total of 6,410 images. The dataset is divided into three categories: (I) healthy plants, (II) plants affected by caterpillars, and (III) images of plants damaged by . This dataset allows training and validation of machine learning models to diagnose, recognize, and classify soybeans affected by caterpillars or . The images can be processed according to the user's need since only the size was standardized during the pre-processing phase.