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Data · dataset · 2026

A Curated Bangladesh-Based Dataset of Handwritten and Printed Prescription Images

Listed in Teesside University Research Data Repository

This dataset comprises 200 de-identified prescription images collected in Bangladesh, including printed and handwritten prescriptions written in Bangla, English, and mixed Bangla-English formats.

Description

Direct identifiers such as patient and physician names, phone numbers, physician degrees, signatures, chamber details, and registration numbers have been removed for privacy protection. The dataset is distributed as a ZIP archive containing an images folder with the prescription images, a labels folder with corresponding text files containing YOLO-style bounding box coordinates for medicine-name regions, and a CSV file listing the image number and the number of annotated medicine boxes for each prescription image.

The dataset is intended for research and educational use in optical character recognition, handwriting recognition, prescription parsing, multilingual medical document understanding, object detection, and healthcare document analysis.

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Where it is published

Catalogue records · 1

Topics

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Image 75% · Text 75%
Provenance · 1 source records, 13 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/k62rfd23kz.27 h agoJSON v1
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concepts[field].anzsrc:field:460304mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Computer Vision']
concepts[field].anzsrc:group:4602mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Artificial Intelligence']
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concepts[method].local:method:ocrmapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Optical Character Recognition']
concepts[modality].local:modality:imageenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
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