Ganoderma Detection Dataset for Oil Palm Crop Disease Classification

Published: 6 March 2025| Version 1 | DOI: 10.17632/s23jvbpnr3.1
Contributor:
Prasetyo Mimboro

Description

This dataset contains 1,133 images, each labeled with the location of Ganoderma symptoms on oil palm crops. The dataset is organized into three sets: a. Training set (987 images, 87%) b. Validation set (104 images, 9%) c. Test set (42 images, 4%) Images were resized to 640x640 pixels, and annotations were made in COCO format. Augmentation techniques applied to the dataset include horizontal and vertical flipping, brightness variation, and noise addition to simulate real-world conditions.

Files

Institutions

Bina Nusantara University

Categories

Computer Vision, Agriculture

Licence