M5Product
Introduced by Dong et al. in M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining
The M5Product dataset is a large-scale multi-modal pre-training dataset with coarse and fine-grained annotations for E-products.
• 6 Million multi-modal samples, 5k properties with 24 Million values
• 5 modalities-image text table video audio
• 6 Million category annotations with 6k classes
• Wide data source (1 Million merchants provide)
Papers
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