---
language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- image-to-text
tags:
- code
- finance
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.

# 💴 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

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.

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F8a09d5f116c76c2b28eba08e4f849ae6%2FFrame%2022.png?generation=1695717336420998&alt=media)

# 💴 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

# 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.

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F09df344d671237d53f5c38ae3cda191e%2Fcarbon.png?generation=1695717587845423&alt=media)

# Barcodes Detection might be made in accordance with your requirements.

## **[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

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*