Dataset · Hugging Face

toufiqmusah/GhanaAgricVQA-Dataset

Name: GhanaAgricVQA-Dataset
Creator: toufiqmusah
License: cc-by-4.0
Keywords: task_categories:visual-question-answering, task_categories:image-classification, language:en, language:tw, license:cc-by-4.0, size_categories:1K<n<10K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, agriculture

GhanaAgricVQA — Crop Disease Visual Question Answering A Visual Question Answering (VQA) dataset for crop disease diagnosis in smallholder farming contexts, built from the RAIL Crop Disease Dataset.Each image has three QA pairs — identification, action, prevention — grounded in an expert knowledge base and written in conversational farmer-friendly English with Twi translations. Purpose: Fine-tune vision-language models (e.g., OWL-v2) to serve as AI crop disease assistants… See the full description on the dataset page: https://huggingface.co/datasets/toufiqmusah/GhanaAgricVQA-Dataset.

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Author / organization	toufiqmusah
License (as declared)	cc-by-4.0
Downloads	147 (as reported by Hugging Face)
Likes	2
Created	21 June 2026
Last updated at source	28 July 2026

agriculturecrop-diseaseghanawest-africamaizepeppertomatorail-datasetvqaowl-v2uboreshaji-modeli

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