Project-AgML/CDDM
CDDM CDDM (Crop Disease Domain Multimodal) is a dataset for teaching vision-language models to diagnose crop diseases. It has 137,000 images of 16 crops and 60 disease categories, with over a million question and answer pairs. The diagnosis conversations were written by GPT-4 from each image's crop, disease and an appearance description, and some questions are built to need a "no" answer. The knowledge questions were written by GPT-4 from crop disease reference text.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/CDDM.
| Author / organization | Project-AgML |
|---|---|
| License (as declared) | other |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 21 October 2026 |
| Last updated at source | 21 October 2026 |
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Recent changes
- 21 Oct 2026 License: none → other
- 21 Oct 2026 Description: none → CDDM CDDM (Crop Disease Domain Multimodal) is a dataset for teaching vision-language models to diagnose crop diseases. It has 137,000 images of 16 crops and 60 disease categories, with over a million question and answer pairs. The diagnosis
- 21 Oct 2026 Topics added task_categories:image-text-to-text, task_categories:visual-question-answering, agriculture, vqa, vision-language, agvqa, cddm
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