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MMIS: Multimodal Dataset for Interior Scene Visual Generation and Recognition

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arxiv 2407.05980 v1 pith:6BCRCLWW submitted 2024-07-08 cs.CV

MMIS: Multimodal Dataset for Interior Scene Visual Generation and Recognition

classification cs.CV
keywords datasetgenerationmmisinteriorrecognitionscenecorrespondingdescription
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We introduce MMIS, a novel dataset designed to advance MultiModal Interior Scene generation and recognition. MMIS consists of nearly 160,000 images. Each image within the dataset is accompanied by its corresponding textual description and an audio recording of that description, providing rich and diverse sources of information for scene generation and recognition. MMIS encompasses a wide range of interior spaces, capturing various styles, layouts, and furnishings. To construct this dataset, we employed careful processes involving the collection of images, the generation of textual descriptions, and corresponding speech annotations. The presented dataset contributes to research in multi-modal representation learning tasks such as image generation, retrieval, captioning, and classification.

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