Five-Class Tea Leaf Disease Image Dataset for Plant Disease Detection
Abstract
This dataset contains images of tea leaves collected for plant diseaseclassification and detection research. The dataset consists of five classes:one healthy tea leaf class and four different tea leaf disease classes. The images were captured using smartphone cameras under natural lightingconditions in tea gardens. Variations in lighting, background, and leaforientation are present to reflect real-world conditions. This dataset is intended for use in machine learning, deep learning,computer vision, and agricultural disease detection research.
Fields of Study & Subjects
Smart Agriculture and AI
Industrial Vision Systems and Defect Detection
Advanced Neural Network Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 19 January 2026
- Language
- EN
- Document type
- Dataset