Retail Product Checkout
Single-product and cluttered checkout photographs for recognizing the items in a retail basket.
What the resource contains
- 53,739 single-product training images
- 6,000 validation and 24,000 test checkout images
- Object annotations and multiple clutter difficulty levels
Potential uses
- Research automatic checkout
- Detect and count multiple products
- Evaluate fine-grained recognition
Access & formats
Images / annotations. External dependencies. Follow the project’s instructions on GitHub; some resources require external files, registration or approval.
License & reuse
The official project documentation specifies CC BY-NC-SA 4.0 and academic usage. Other purposes require contact with the authors.
Important limitations
Physical checkout images are adjacent retail data, not ecommerce orders. The repository hosts project documentation and external release links.
Source & attribution
RPC-Dataset — original GitHub project ↗
Additional publisher documentation on GitHub ↗
Documentation reviewed 2026-09-24. Review scope and licensing notes. Suggest a correction.
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