LPR4M (Livestreaming Product Recognition 4M)
Introduced by Yang et al. in Cross-view Semantic Alignment for Livestreaming Product Recognition
LPR4M is a large-scale live commerce dataset, offering a significantly broader coverage of categories and diverse modalities such as video, image, and text. It contains 4M exactly matched〈clip, image〉pairs of 4M live clips, and 332k shop images. Each image has 12 clips with different product variations, e.g., viewpoint, scale, and occlusion.
Papers
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