Grocery Barcode Images with OCR and Polygon Annotations

Ocr Barcodes Detection is a dataset of images featuring various grocery goods with barcode labels. Each image includes polygon annotations around the barcodes and has undergone Optical Character Recognition to extract the barcode numbers. The dataset was created by UniqueData and was last updated on October 1, 2025.

Use Cases

• Train object detection models to locate barcodes based on polygon annotations.
• Develop OCR systems for reading barcode numbers from images of grocery items.
• Build automated checkout systems based on barcode detection and recognition.
• Optimize inventory management workflows using automated barcode scanning.

Strengths

• Images are annotated with precise polygons around barcode labels.
• Optical Character Recognition has been performed to extract barcode numbers from each annotated region.
• The dataset is specifically designed for applications in grocery retail and logistics.

Limitations

• The total number of images, rows, and file formats are unknown.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect bias inherent to the specific collection of grocery goods.

Provenance

Source

UniqueData

Collection Method

Images of grocery goods were annotated with polygons and processed with OCR.

Freshness

Last updated 2025-10-01 10:14:39; freshness should be verified.