Tea leaf disease Dataset

This dataset contains 5180 annotated images of tea leaves, collected and curated in April 2024 for the purpose of detecting and classifying common tea leaf diseases using computer vision techniques. The dataset includes six classes:

Algal Leaf Spot

Brown Blight

Gray Blight

Helopeltis

Red Leaf Spot

Healthy

All images were captured manually using detached tea leaves under varied lighting conditions and backgrounds to ensure diversity and robustness. The dataset was annotated using the Roboflow platform, with bounding boxes provided for each instance of disease or healthy leaf. This dataset is ideal for object detection and classification tasks in agricultural AI research.

Researchers can use this dataset to train, validate, and benchmark machine learning models aimed at improving automated disease diagnosis in tea cultivation.