license: cc-by-nc-nd-4.0
task_categories:
- image-to-text
language:
- en
tags:
- code
- finance
OCR Barcodes Detection
The dataset consists of images of various grocery goods that have barcode labels. Each image in the dataset is annotated with polygons around the barcode labels. Additionally, Optical Character Recognition (OCR) has been performed on each bounding box to extract the barcode numbers.
The dataset is particularly valuable for applications in grocery retail, inventory management, supply chain optimization, and automated checkout systems. It serves as a valuable resource for researchers, developers, and businesses working on barcode-related projects in the retail and logistics domains.
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Dataset structure
- images - contains of original images of goods
- boxes - includes labeling for the original images
- annotations.xml - contains coordinates of the polygons and detected text of the barcode, created for the original photo
Data Format
Each image from images folder is accompanied by an XML-annotation in the annotations.xml file indicating the coordinates of the polygons and detected text . For each point, the x and y coordinates are provided.
Barcodes Detection might be made in accordance with your requirements.
TrainingData provides high-quality data annotation tailored to your needs
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets