Pota-Toma-To leaf disease images dataset

This repository contains an image dataset of Potato and Tomato leaves, curated specifically for researchers developing hybrid or advanced crop disease detection systems. The dataset provides a foundation for training and evaluating computer vision models without revealing the specific proprietary architectures used in our ongoing research. Dataset Details: Target Crops: Potato and Tomato Classes Included: Early Blight, Late Blight, and Healthy leaves. Total Images: 435 images across all categories. Repository Structure: Raw_Dataset: Contains the original RGB images collected for the study. Advanced_Processed_Dataset: Contains images that have undergone advanced pre-processing techniques (including structural enhancement and noise reduction) to improve lesion visibility for machine learning applications. Database_Description: A text file detailing the exact image distribution per class.