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@@ -7,7 +7,7 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 12173747703.0
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  num_examples: 7224600
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  - name: val
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  num_bytes: 1352108669.283
@@ -17,7 +17,40 @@ dataset_info:
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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:
9
  - 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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+
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+ Citation details provided on the above mentioned website:
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+
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+ If you use the data please cite:
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+
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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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+
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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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+
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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)