Tibetan Plateau Poisonous Weed Segmentation Dataset (TPSD) Dataset Summary
The Tibetan Plateau Poisonous Weed Segmentation Dataset (TPSD) is a fine-grained vision-language segmentation dataset constructed for poisonous weed identification in real-world field environments on the Tibetan Plateau. It is designed for referring image segmentation (RIS) and related vision-language grounding tasks in ecological monitoring.
TPSD contains:
field images collected from the Tibetan Plateau,
pixel-level instance masks for poisonous weeds,
semantically rich referring expressions corresponding to each annotated instance.
The dataset supports research on:
poisonous weed segmentation,
language-guided target grounding,
fine-grained ecological scene understanding,
cross-modal learning in complex vegetation backgrounds.