Datasets:
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README.md
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splits:
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- name: train
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num_bytes: 12173747703
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num_examples: 7224600
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- name: val
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num_bytes: 1352108669.283
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num_examples: 891924
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download_size: 12115256620
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dataset_size: 15010306936.179
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---
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# Dataset Card for "MJSynth_text_recognition"
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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dtype: string
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splits:
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- name: train
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num_bytes: 12173747703
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num_examples: 7224600
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- name: val
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num_bytes: 1352108669.283
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num_examples: 891924
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download_size: 12115256620
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dataset_size: 15010306936.179
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task_categories:
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- image-to-text
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language:
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- en
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size_categories:
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- 1M<n<10M
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---
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# Dataset Card for "MJSynth_text_recognition"
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This is text recognition on document images dataset, synthetically generated, covering 90K English words.
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It includes training, validation and test splits.
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Source of the dataset: https://www.robots.ox.ac.uk/~vgg/data/text/
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Citation details provided on the above mentioned website:
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If you use the data please cite:
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@InProceedings{Jaderberg14c,
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author = "Max Jaderberg and Karen Simonyan and Andrea Vedaldi and Andrew Zisserman",
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title = "Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition",
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booktitle = "Workshop on Deep Learning, NIPS",
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year = "2014",
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}
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@Article{Jaderberg16,
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author = "Max Jaderberg and Karen Simonyan and Andrea Vedaldi and Andrew Zisserman",
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title = "Reading Text in the Wild with Convolutional Neural Networks",
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journal = "International Journal of Computer Vision",
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number = "1",
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volume = "116",
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pages = "1--20",
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month = "jan",
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year = "2016",
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}
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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