FOR31-CS: A Forest Pest Dataset with 31 Categories in Complex Scenes
Abstract
The FOR31-CS dataset provides high-quality images of 31 fine-grained forest pest categories under complex environmental conditions. To effectively simulate real-world monitoring challenges, the dataset includes both original clear images and synthetically degraded versions featuring four typical adverse scenarios: rain, fog, low illumination, and blur. This dataset is specifically designed to support the development and evaluation of robust deep learning models for sustainable forest health management.
Fields of Study & Subjects
Smart Agriculture and AI
Forest Insect Ecology and Management
Advanced Neural Network Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 March 2026
- Language
- EN
- Document type
- Dataset