JujubeBruiseNet: A Dataset for Bruise Detection in Ziziphus mauritiana

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