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benjamintli/retail-product-checkout

Retail Product Checkout (RPC) Dataset Overview This repository provides a Hugging Face–compatible distribution of the Retail Product Checkout (RPC) dataset, originally introduced by Wei et al. for research on automatic checkout and fine-grained retail product recognition. This dataset was not created or collected by the maintainer of this repository. All credit for data collection, annotation, and dataset design belongs to the original authors.… See the full description on the dataset page: https://huggingface.co/datasets/benjamintli/retail-product-checkout.

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Retail Product Checkout (RPC) Dataset

Overview

This repository provides a Hugging Face–compatible distribution of the Retail Product Checkout (RPC) dataset, originally introduced by Wei et al. for research on automatic checkout and fine-grained retail product recognition.

This dataset was not created or collected by the maintainer of this repository. All credit for data collection, annotation, and dataset design belongs to the original authors.


Original Dataset

  • Name: Retail Product Checkout (RPC)
  • Authors: Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, Lingqiao Liu, Jian Yang
  • Paper: RPC: A Large-Scale and Fine-Grained Retail Product Checkout Dataset
  • Project Page: https://rpc-dataset.github.io/
  • Year: 2019

This repository exists solely to improve accessibility and reproducibility for non-commercial research use.


License

The RPC dataset is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0) license by the original authors.

This repository does not change or relicense the dataset. All usage must comply with the original license terms.


Attribution

If you use this dataset, please cite the original paper:

bibtex
@article{wei_rpc_2019,
  title={RPC: A Large-Scale and Fine-Grained Retail Product Checkout Dataset},
  author={Wei, Xiu-Shen and Cui, Quan and Yang, Lei and Wang, Peng and Liu, Lingqiao and Yang, Jian},
  journal={arXiv preprint arXiv:1901.07249},
  year={2019}
}