Comprehensive Multi-Class Image Dataset of Jackfruit (Artocarpus heterophyllus) Leaf Diseases

This dataset contains jackfruit (Artocarpus heterophyllus) leaf images collected from Savar and Rajbari districts of Bangladesh. The images were captured using a smartphone camera under natural field conditions. The dataset covers six classes: Blight, Dried, Fungal_Spot, Healthy, Leaf_Miner, and Pest_Damage. It provides a valuable resource for plant disease detection, classification, and precision agriculture research. The dataset can be applied in developing deep learning and machine learning models to support early identification of jackfruit leaf diseases, which will help farmers and researchers enhance crop health management and improve agricultural productivity. Dataset Classes and Image Counts: Blight:500 images Dried:500 images Fungal_Spot:500 images Healthy:500 images Leaf_Miner:500 images Pest_Damage:500 images Image Details: Original image resolution:3072 x 4096 Resized image resolution:480 x 560 Image format: JPG Color mode: RGB Collection device: Smartphone camera Location: Savar and Rajbari districts, Bangladesh