ML-Intern-lab/citrus-disease-vlm-instruct

Citrus Disease VLM Instruct An instruction-tuning dataset for training a small vision-language model (VLM) to look at a photo of a citrus leaf, fruit or shoot, name the disease, pest or nutrient deficiency, explain the cause and symptoms, and recommend both biological/organic and chemical management. Every example pairs one image with a chat conversation in the format used by TRL's SFTTrainer for multimodal models (Qwen-VL, SmolVLM, Idefics, LLaVA and similar). What… See the full description on the dataset page: https://huggingface.co/datasets/ML-Intern-lab/citrus-disease-vlm-instruct.

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