Karanda Leaf Disease Classification Dataset

Karanda (Carissa carandas), also known as Bengal currant or Christ's thorn, is a tropical fruit-bearing plant valued for its edible fruits and medicinal benefits. This dataset was created to support the detection and classification of diseases affecting Karanda leaves using image-based machine learning. All images were captured outdoors with a smartphone, reflecting real-world conditions and showing both healthy and diseased leaves under various lighting and environments. The goal is to help researchers and developers build AI models that can detect leaf diseases early, improve crop health monitoring, and support sustainable farming practices for Karanda and similar tropical plants.

Original Dataset
- Number of Images: 715
- Data Format: .jpg

Processed Dataset
- Number of Images: 715
- Data Format: .jpg

Augmented Dataset
- Number of Images: 7,000
- Data Format: .jpg

Augmentation Techniques Applied:
1. Rotation
2. Horizontal Flipping
3. Vertical Flipping
4. Brightness Enhancement
5. Contrast Adjustment
6. Image Blurring
7. Shearing
8. Zooming
9. Noise Injection

Applications:
- Enables AI-based early detection of Karanda leaf diseases to improve crop yield and reduce economic losses.
- Supports the development of automated classification systems for tropical plant species.
- Aids research in precision agriculture by enabling machine learning models to assess plant health visually.
- Provides a solid foundation for building robust, real-time plant disease detection solutions deployable in field conditions.
- Facilitates academic and industrial research on plant pathology using computer vision and deep learning.