Grocery Store Receipts with Bounding Box Annotations for OCR

UniqueData's Grocery Store Receipts Dataset is a collection of photos from various grocery store receipts, designed for Optical Character Recognition tasks. Each image includes bounding box annotations for text segments categorized into four classes: item, store, date_time, and total. The dataset was last updated on October 1, 2025.

Use Cases

• Train text detection models based on bounding box annotations for receipt images.
• Develop OCR systems to extract specific fields like item names and totals from receipts.
• Benchmark retail-focused OCR algorithms on a domain-specific dataset.
• Create models for automated receipt data entry and expense tracking.

Strengths

• Includes bounding box annotations for precise text localization.
• Text segments are categorized into four specific classes: item, store, date_time, and total.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

UniqueData

Collection Method

Photos captured from various grocery store receipts.

Freshness

Last updated 2025-10-01 10:23:13; freshness should be verified.