Vadzim Kashko
docs: readme
ebbcc87
metadata
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

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.

Get the dataset

This is just an example of the data

Leave a request on https://trainingdata.pro/data-market 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