PepperDisease

This dataset is a curated collection of images and metadata used for the study titled "A Multi-Modal Framework for Pepper Disease and Pest Detection". The dataset includes high-quality images of pepper plants exhibiting various symptoms of diseases and pest infestations, annotated with relevant metadata for use in machine learning and deep learning applications. It is designed to support researchers and practitioners in developing and evaluating models for accurate disease diagnosis and pest identification in agricultural settings.
This dataset is particularly suited for:

Developing supervised learning models for disease and pest detection.
Training image classification, object detection, and segmentation algorithms.
Evaluating the robustness of algorithms under varying environmental conditions.

Due to confidentiality agreements with agricultural partners, this dataset represents only a subset of the complete data used in the study.
The complete dataset and associated code are available upon request. Please contact the corresponding author for details.
After project completion, the full dataset will be made publicly available on GitHub.