GreenFlyDB

The data was collected to develop, train, and test computer vision models for the automatic detection and classification of green flies in various environments. The dataset includes representative samples with variations in lighting, angle, size, and background context, enabling more robust machine learning model performance.

Possible applications: Automated detection of pest insects in agriculture Research in entomology and biodiversity Training and evaluation of image classification algorithms Data format: image files (.jpg/.png) with associated annotations where applicable. Language: English (class names). The goal of this dataset is to provide an open-access resource for researchers, engineers, and students working in computer vision, precision agriculture, and crop protection.