Datasets:
Tasks:
Image-to-Text
Formats:
imagefolder
Sub-tasks:
image-captioning
Languages:
English
Size:
10K - 100K
create README.md
Browse files
README.md
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This dataset we prepared using the Scanned receipts OCR and information extraction(SROIE) dataset.
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The SROIE dataset contains 973 scanned receipts in English language.
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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.
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The text annotations for all the images inside a split are stored in a metadata.jsonl file.
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usage:
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from dataset import load_dataset
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data = load_dataset("priyank-m/SROIE_2019_text_recognition")
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source of raw SROIE dataset:
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https://www.kaggle.com/datasets/urbikn/sroie-datasetv2
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