Dataset · Hugging Face

priyank-m/SROIE_2019_text_recognition

Name: SROIE_2019_text_recognition
Creator: priyank-m
Keywords: task_categories:image-to-text, task_ids:image-captioning, multilinguality:monolingual, language:en, size_categories:10K<n<100K, format:imagefolder, modality:image, modality:text, library:datasets, library:mlcroissant, region:us, text-recognition, recognition

This dataset we prepared using the Scanned receipts OCR and information extraction(SROIE) dataset. The SROIE dataset contains 973 scanned receipts in English language. Cropping the bounding boxes from each of the receipts to generate this text-recognition dataset resulted in 33626 images for train set and 18704 images for the test set. The text annotations for all the images inside a split are stored in a metadata.jsonl file. usage: from dataset import load_dataset data =… See the full description on the dataset page: https://huggingface.co/datasets/priyank-m/SROIE_2019_text_recognition.

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Author / organization	priyank-m
Downloads	441 (as reported by Hugging Face)
Likes	14
Created	27 August 2022
Last updated at source	27 August 2022

text-recognitionrecognition

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