Project-AgML/WisWheat
WisWheat WisWheat is a vision-language dataset for wheat management. It has three tiers: 47,871 image and caption pairs for pretraining, 7,263 quantitative questions (counting spikes, measuring organ and rust coverage, naming the growth stage), and instruction conversations about wheat stress, disease, weeds and growth. The authors fine-tuned open models on it. A tuned Qwen2.5-VL 7B reached 79.2% on wheat stress and 84.6% on growth stage questions, against 67.3% and 50.0% for… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/WisWheat.
| Author / organization | Project-AgML |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 20 October 2026 |
| Last updated at source | 20 October 2026 |
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Recent changes
- 20 Oct 2026 Topics added agriculture, vision-language, vqa, wiswheat
- 20 Oct 2026 License: none → cc-by-nc-4.0
- 20 Oct 2026 Description: none → WisWheat WisWheat is a vision-language dataset for wheat management. It has three tiers: 47,871 image and caption pairs for pretraining, 7,263 quantitative questions (counting spikes, measuring organ and rust coverage, naming the growth sta
- 20 Oct 2026 Topics added task_categories:image-text-to-text, task_categories:visual-question-answering
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