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The MM‑CamObj dataset, created by Shanghai Jiao Tong University, addresses challenges for vision‑language models in complex, especially camouflaged‑object, scenarios. It comprises two subsets: CamObj‑Align (11,363 high‑quality image‑text pairs) for vision‑language alignment, and CamObj‑Instruct (11,363 images with 68,849 diverse dialogues) for instruction fine‑tuning. Images were carefully selected from classic datasets and detailed descriptions and dialogues were generated using GPT‑4o. MM‑CamObj is primarily used to evaluate and improve vision‑language models on camouflaged‑object detection, localization, and counting tasks.
