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@@ -50,19 +50,16 @@ dataset_info:
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  download_size: 283531190
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  dataset_size: 284124996
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  ---
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- # OCR Barcodes Detection
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  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.
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  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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  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F8a09d5f116c76c2b28eba08e4f849ae6%2FFrame%2022.png?generation=1695717336420998&alt=media)
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- # Get the dataset
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-
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- ### This is just an example of the data
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-
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- Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=ocr-barcodes-detection) to discuss your requirements, learn about the price and buy the dataset.
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  # Dataset structure
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  - **images** - contains of original images of goods
@@ -77,8 +74,10 @@ Each image from `images` folder is accompanied by an XML-annotation in the `anno
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  # Barcodes Detection might be made in accordance with your requirements.
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- ## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=ocr-barcodes-detection) provides high-quality data annotation tailored to your needs
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  More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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- TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
 
 
 
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  download_size: 283531190
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  dataset_size: 284124996
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  ---
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+ # OCR Barcodes Detection - Object Detection Dataset
 
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  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.
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+ # 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=ocr-barcodes-detection)** to buy the dataset
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  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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  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F8a09d5f116c76c2b28eba08e4f849ae6%2FFrame%2022.png?generation=1695717336420998&alt=media)
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+ # 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=ocr-barcodes-detection)** to discuss your requirements, learn about the price and buy the dataset
 
 
 
 
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  # Dataset structure
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  - **images** - contains of original images of goods
 
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  # Barcodes Detection might be made in accordance with your requirements.
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+ ## **[TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=ocr-barcodes-detection)** provides high-quality data annotation tailored to your needs
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  More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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+ TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
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+ *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*