SAR-MLD1-2025: A High Quality Mango Leaf Dataset for Disease Classification (part1)

Dataset Overview: This dataset contains images of mango leaves collected from various mango orchards to aid in deep learning-based disease detection. The images have been categorized into healthy and diseased classes. The dataset aims to support research on plant disease detection, particularly for mango orchards. This dataset is divided into two parts due to file size constraints. This dataset is Part-1 of the full dataset and contains additional images of mango leaves affected by various diseases. 🔗 Related Datasets: 👉 Part-2 Dataset doi: 10.17632/j3bn63t4sp.4 Reference: Awoal, Robiul; Islam, Zubair; Sarower, Afjal (2025), “SAR-MLD1-2025: A High Quality Mango Leaf Dataset for Disease Classification (part2)”, Mendeley Data, V3, doi: 10.17632/j3bn63t4sp.4 Please ensure that both Part-1 & Part-2 are downloaded for full dataset access.