| --- |
| language: |
| - en |
| license: cc-by-nc-nd-4.0 |
| task_categories: |
| - image-to-text |
| tags: |
| - barcode |
| - OCR |
| - barcode detection |
| - annotated dataset |
| - qr code |
| - retail |
| dataset_info: |
| features: |
| - name: id |
| dtype: int32 |
| - name: name |
| dtype: string |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| - name: width |
| dtype: uint16 |
| - name: height |
| dtype: uint16 |
| - name: shapes |
| sequence: |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Barcode |
| - name: type |
| dtype: string |
| - name: points |
| sequence: |
| sequence: float32 |
| - name: rotation |
| dtype: float32 |
| - name: occluded |
| dtype: uint8 |
| - name: attributes |
| sequence: |
| - name: name |
| dtype: string |
| - name: text |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 284124996 |
| num_examples: 11 |
| download_size: 283531190 |
| dataset_size: 284124996 |
| --- |
| # 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. |
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| # 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&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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|  |
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| ## Buy the Dataset: This is just an example of the data. Leave a request on [our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=ocr-barcodes-detection) provides high-quality data annotation tailored to your needs |
|
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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 |
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| # Data Format |
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| 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. |
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| # Barcodes Detection might be made in accordance with your requirements. |
|
|
| Leave a request on [our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=ocr-barcodes-detection) to discuss your requirements, learn about the price and buy the dataset. |
|
|
| ## [Our Team](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=ocr-barcodes-detection) provides high-quality data annotation tailored to your needs |
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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* |
