Image Dataset of Ten Durian Diseases Captured in Real-Field Conditions from a Family Orchard in Vinh Long, Vietnam
Description
This dataset contains 4,000 raw JPEG images of durian leaves, stems, fruits, and roots affected by ten common durian diseases, captured in real-field conditions from a family-owned durian orchard and four neighboring farms in Vĩnh Long, Vietnam. The images are organized into ten folders, each corresponding to one disease class: Thrips disease, Stem blight, Canker disease, Pink disease, Stem cracking and gummosis, Mealybug infestation, Anthracnose, Fruit rot, Sooty mold, and Yellow leaf disease. Each class includes approximately 400 images, photographed using an iPhone 14 under natural lighting and farm conditions to simulate how farmers typically capture images. As a result, the dataset exhibits realistic noise, such as blurry focus, uneven lighting, varied angles, and complex backgrounds. After collection, images were cropped using Preview on macOS (MacBook with Apple M4 chips), and saved in both JPEG (original) and PNG (cropped) formats. Disease symptoms were verified by plant pathology experts, ensuring the reliability of the class labels. This dataset is intended for use in machine learning and computer vision applications, particularly in plant disease classification, mobile-based diagnostics, and evaluation of models under noisy, real-world conditions.
Files
Institutions
- University of Information Technology