HoneyNet: A Public Dataset for Binary and Multi-Stage Classification of Wax Moth Pest Infestation in Honeybee Apiaries

This dataset provides a publicly available collection of labeled images for the detection and classification of wax moth pest infestation in honeybee apiaries. The dataset supports both binary classification (healthy vs. infested) and multi-stage classification corresponding to different infestation stages. The images were collected under real apiary conditions and manually annotated to facilitate research in computer vision, machine learning, and precision apiculture. The dataset is intended to support automated pest monitoring and early infestation detection.