Tomato Leaf Diseases Detection Tomato Leaf Diseases Image Detection Dataset

About the dataset

This dataset is a tomato leaf disease image detection dataset, which is divided into the following categories:

• Bacterial plaque
• Early blight
• healthy
• Late blight
• Leaf mold
• Target point
• Black Spot

Leaf diseases are annotated using YOLO v5 PyTorch format.

Apply the following preprocessing to each image:

• Automatic orientation of pixel data (with EXIF orientation stripping)
• Resize to 640×640 (stretched)

Use cases for this project include:

1. Smart agriculture: Detecting tomato crop diseases for proactive management.
2. Automated greenhouse management: Integrating disease detection to optimize plant health.
3. Plant disease databases and research: improving understanding and aiding the development of treatments.
4. Educational applications: Teaching about tomato diseases to improve diagnosis and management.
5. Mobile plant disease diagnosis app: enables users to identify diseases and get treatment guidance anytime, anywhere.