JujubeBruiseNet: A Dataset for Bruise Detection in Ziziphus mauritiana
Description
This dataset contains images of Ziziphus mauritiana (jujube) categorized into Healthy and Bruised.The dataset is curated for bruise detection and classification using computer vision techniques. It includes both original and augmented images, making it suitable for deep learning applications. Dataset Composition: Original Dataset: Healthy: 732 images Bruised: 732 images Augmented Dataset: Healthy: 2,928 images Bruised: 2,928 images Total Images: 7,320 File Format: JPG/PNG (Specify based on your dataset) Potential Applications: Computer vision-based bruise detection Quality assessment of jujube fruits Deep learning model training for agricultural product classification
Files
Steps to reproduce
Fresh and bruised jujube was bought from Savar, Dhaka, Bangladesh. Then the photo is taken from two smartphones and then scanned using cam scanner: The Raw dataset contains 732 images in both classes and the augmented dataset contains 2928 images for each classes Potential Applications: Computer vision-based bruise detection Quality assessment of jujube fruits Deep learning model training for agricultural product classification