PlantVillageVQA: 193,609 Visual Q&A Pairs for Plant Disease Diagnosis

PlantVillageVQA is a multimodal dataset for visual question answering in plant pathology. It contains 193,609 question–answer items paired with 55,448 leaf images spanning 14 crops and 38 diseases. The dataset was created by SyedNazmusSakib and was last updated on the Hugging Face platform in September 2025.

Use Cases

• Train visual question answering models based on leaf images and pathology questions.
• Benchmark AI performance on plant disease symptom grounding and verification tasks.
• Develop educational tools for plant pathology based on the dataset's question categories and cognitive levels.

Strengths

• Contains 193,609 question–answer items, providing a substantial resource for model training.
• Pairs questions with 55,448 leaf images, offering rich visual context.
• Covers 14 crop types and 38 diseases, indicating broad taxonomic coverage.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2025-09-03 16:31:42; freshness should be verified.

Provenance

Source

SyedNazmusSakib via Hugging Face

Freshness

Last updated 2025-09-03 16:31:42.