Dhan-Shomadhan

Datasets

Dhan-Shomadhan

File

Dhan-Shomadhan

Use Case

Dhan-Shomadhan

Description

The Rice Leaf Disease Dataset contains 1,106 labeled images of rice leaves affected by Brown Spot, Leaf Scaled, Rice Blast, Rice Tungro, and Stealth Blight.

Description:

The Rice Leaf Disease Dataset contains 1,106 labeled images of rice leaves affected by five major diseases: Brown Spot, Leaf Scaled, Rice Blast, Rice Tungro, and Stealth Blight. Designed for AI-driven plant disease detection and precision agriculture, this dataset is ideal for image classification, deep learning, and crop health monitoring.

Download Dataset

The Rice Leaf Disease Dataset is a high-quality computer vision dataset designed for AI-driven plant disease detection, precision agriculture, and crop health monitoring. It contains 1,106 labeled images of rice leaves affected by five distinct diseases, making it an essential resource for deep learning, image classification, and disease prediction models in agritech research.

Dataset Overview

Dataset Focus: Rice leaf disease classification and crop health monitoring
Number of Images: 1,106 high-resolution images
Diseases Covered:
- Brown Spot
- Leaf Scaled
- Rice Blast
- Rice Tungro
- Stealth Blight
Institution: Daffodil International University
Optimized Image Size: The dataset is resized for efficient processing without compromising quality

Key Features

Comprehensive Disease Coverage: Includes five major rice leaf diseases affecting crop yield
AI & Deep Learning Ready: Suitable for image classification, object detection, and segmentation tasks
Optimized for Agricultural Research: Supports precision farming, disease prediction, and pest control models
High-Quality Annotations: Well-labeled images for accurate training and validation
Scalability: Ideal for real-time disease detection and agritech solutions

This dataset is sourced from Kaggle.