Rice Leafs

The dataset has been divided into two groups, train and validation.
Inside the two folders are 4 categories of types:

BrownSpot
Healthy
Hispa
LeafBlast

Note: The image resolution in the images is not uniform.

Understanding the Dataset

The Rice Leafs dataset is a comprehensive collection of images and data related to various diseases affecting rice leaves. This dataset is meticulously curated to aid in the development of machine learning models and other analytical tools for disease detection and management.

Components of the Dataset

The dataset includes several key components:

• Image Data: High-resolution images of affected by different diseases. These images cover various stages of disease progression and different parts of the leaf.
• Annotations: Detailed annotations indicating the presence and type of disease in each image. These annotations are made by experts in plant pathology and are crucial for training accurate models.
  

  Conclusion

  The Rice Leafs dataset is a pivotal tool in the fight against rice diseases. As we continue to refine and expand this resource, its impact on global food security and agricultural sustainability will only grow.