license: cc-by-nc-nd-4.0
task_categories:
- image-to-text
- object-detection
language:
- en
tags:
- code
- finance
OCR Receipts from Grocery Stores Text Detection
The Grocery Store Receipts Dataset is a collection of photos captured from various grocery store receipts. This dataset is specifically designed for tasks related to Optical Character Recognition (OCR) and is useful for retail.
Each image in the dataset is accompanied by bounding box annotations, indicating the precise locations of specific text segments on the receipts. The text segments are categorized into four classes: item, store, date_time and total.
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Dataset structure
- images - contains of original images of receipts
- boxes - includes bounding box labeling for the original images
- annotations.xml - contains coordinates of the bounding boxes and detected text, 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 bounding boxes and detected text . For each point, the x and y coordinates are provided.
Classes:
- store - name of the grocery store
- item - item in the receipt
- date_time - date and time of the receipt
- total - total price of the receipt
Text Detection in the Receipts 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-pro