| Tibetan Plateau Poisonous Weed Segmentation Dataset (TPSD) |
| Dataset Summary |
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| 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. |
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| TPSD contains: |
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| field images collected from the Tibetan Plateau, |
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| pixel-level instance masks for poisonous weeds, |
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| semantically rich referring expressions corresponding to each annotated instance. |
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| The dataset supports research on: |
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| poisonous weed segmentation, |
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| language-guided target grounding, |
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| fine-grained ecological scene understanding, |
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| cross-modal learning in complex vegetation backgrounds. |
