MEP-3M
A large multimodal ecommerce product benchmark joining product imagery with Chinese text and category labels.
What the resource contains
- About 3 million image-text product examples
- Hierarchical product categories
- 599 fine-grained category labels
Potential uses
- Train product classification
- Evaluate image-text alignment
- Research Chinese multimodal product models
Access & formats
Images / text / labels. External dependencies. Follow the project’s instructions on GitHub; some resources require external files, registration or approval.
License & reuse
Dataset instructions limit use to academic research and prohibit commercial use, even though repository code has an MIT license.
Important limitations
The full release is large. Confirm storage, access and category definitions before planning a training pipeline.
Source & attribution
ChenDelong1999 — original GitHub project ↗
Documentation reviewed 2026-09-24. Review scope and licensing notes. Suggest a correction.
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