PlantExpertVQA is a 765,186-question visual QA benchmark for plant diseases on which current vision-language models score poorly and on which small-model fine-tuning yields large gains.
The global burden of pathogens and pests on major food crops
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
PlantExpertVQA: A Visual Question Answering Dataset for Benchmarking Vision-Language Models in Plant Science
PlantExpertVQA is a 765,186-question visual QA benchmark for plant diseases on which current vision-language models score poorly and on which small-model fine-tuning yields large gains.