Image Dataset for Disease Detection in Sponge Gourd (Luffa aegyptiaca) Leaves

Dataset Purpose: Annotated images of sponge gourd (Luffa aegyptiaca) leaves for disease detection and classification. Location: Collected from multiple regions in Bangladesh. Leaf Categories: Five distinct disease categories, each with specific characteristics: Fresh Leaf: Healthy, non-diseased leaves. Mosaic Leaf: Leaves with mosaic patterns caused by viral infections. Insect Disease Leaf: Leaves damaged and discolored by insect infestations. Downy Mildew: Fungal infection marked by pale yellow spots and powdery growth. Bacterial Leaf Spot Disease: Necrotic spots on leaves due to bacterial infections. Applications: Supports the development and evaluation of machine learning models for disease detection in sponge gourd cultivation. Audience: Useful for researchers and practitioners in agriculture, plant pathology, and computer vision. Dataset Features: Images are annotated and labeled, providing a comprehensive resource for automated disease classification in plants.