Tomato Leaf Disease Images for 10-Class Classification

A cleaned image dataset for classifying tomato leaf diseases. The dataset contains images across 10 distinct disease categories. It was sourced from Kaggle, but details on the author, collection method, and specific size are not provided.

Use Cases

• Train image classification models based on the 10 disease categories mentioned in the description.
• Benchmark model performance for plant disease recognition based on the cleaned image data.
• Develop automated diagnostic tools for tomato crop health based on leaf imagery.

Strengths

• Dataset is described as cleaned, which suggests preprocessing for model training.
• Focuses on a specific domain with 10 distinct classes for classification.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kaggle

Collection Method

Unknown

Time Range

Unknown

Freshness

Last update date is unknown; freshness unverified.

Geography

Unknown