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.