Tomato Leaf Disease Images Formatted for YOLO Object Detection

A collection of images of tomato leaves formatted for use with the YOLO object detection framework. The dataset is hosted on Kaggle and is intended for computer vision tasks related to plant disease identification. Specific details on the number of images, collection dates, and authorship are not provided in the available metadata.

Use Cases

• Train object detection models to identify tomato leaf diseases based on annotated images.
• Benchmark YOLO model performance on agricultural image data.
• Develop automated plant health monitoring systems based on leaf imagery.

Strengths

• Data is pre-formatted for the YOLO object detection framework, reducing preprocessing effort.
• Focuses on a specific, high-impact agricultural application: tomato leaf disease.

Limitations

• Row count (number of images) is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle