OCR Barcodes Detection - Object Detection Dataset

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.

💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on TrainingData to buy the dataset

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.

💴 Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets to discuss your requirements, learn about the price and buy the dataset

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

keywords: barcode, barcode detection, annotated dataset, barcode images, barcode localization, deep learning, barcode identification, data-driven classifier, barcode reader, barcode scanner, decoder, qr code, retail dataset, consumer goods dataset, grocery store dataset, supermarket dataset, deep learning, retail store management, pre-labeled dataset, annotations, text detection, text recognition, optical character recognition, document text recognition, detecting text-lines, object detection, scanned documents, deep-text-recognition, text area detection, text extraction, images dataset, image-to-text, object detection