<ul><li>Product recalls provide valuable insights into potential risks and hazards within the engineering design process.</li><li>A multimodal dataset, RECALL-MM, has been developed using data from the United States Consumer Product Safety Commission (CPSC) recalls database.</li><li>The dataset facilitates data-driven risk assessment and can be used to identify product risks and guide safer design decisions.</li><li>The dataset includes interactive clustering maps and leverages a large language model (LLM) to predict potential hazards based on product images.</li></ul>

RECALL-MM: A Multimodal Dataset of Consumer Product Recalls for Risk Analysis using Computational Methods and Large Language Models

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