ryanznie/SROIE_2019_with_labels
This is a fork of Urban Knupleš's "SROIE datasetv2", with ground truth labels for invoice numbers. train/labels.json and test/test_labels.json contains the ground truth invoice numbers for the associated image. Below is a copy + paste from his repo. Here is my dataset documentation and notes. See there as well for heuristics used to label the dataset. The latest version tag is data-v2.1. Scanned receipts OCR and information extraction (SROIE) + LayoutLM (base) This dataset was… See the full description on the dataset page: https://huggingface.co/datasets/ryanznie/SROIE_2019_with_labels.
This is a fork of Urban Knupleš's "SROIE datasetv2", with ground truth labels for invoice numbers. train/labels.json and test/test_labels.json contains the ground truth invoice numbers for the associated image.
Below is a copy + paste from his repo. Here is my dataset documentation and notes. See there as well for heuristics used to label the dataset. The latest version tag is data-v2.1.
Scanned receipts OCR and information extraction (SROIE) + LayoutLM (base)
This dataset was created for the ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction (SROIE). The dataset has receipts written in English. It also contains the pre-trained base model LayoutLM, which I use to train the model to extract information from the SROIE dataset.
Content
The dataset contains 973 scanned receipts. For each receipt you have an .jpg file of the scanned receipt, a .txt file holding OCR information and a .txt file holding the key information values.
Acknowledgements
The dataset is not my own work. I nearly grouped things in the right order and folders. The original authors are the organizers of the competition.