Datasets:
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README.md
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- en
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task_categories:
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- image-to-text
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pretty_name: IAM
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dataset_info:
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features:
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- name: test
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num_examples: 2915
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dataset_size: 10373
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---
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# IAM
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## Table of Contents
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- [IAM
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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The IAM Handwriting Database contains forms of handwritten English text which can be used to train and test handwritten text recognizers and to perform writer identification and verification experiments.
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### Languages
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All the documents in the dataset are written in English.
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### Data Fields
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- `image`:
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- `text`: the label transcription of the image.
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- en
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task_categories:
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- image-to-text
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pretty_name: IAM-line
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dataset_info:
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features:
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- name: test
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num_examples: 2915
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dataset_size: 10373
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tags:
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- atr
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- htr
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- ocr
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- modern
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- handwritten
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---
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# IAM - line level
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## Table of Contents
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- [IAM - line level](#iam-line-level)
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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The IAM Handwriting Database contains forms of handwritten English text which can be used to train and test handwritten text recognizers and to perform writer identification and verification experiments.
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Note that all images are resized to a fixed height of 128 pixels.
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### Languages
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All the documents in the dataset are written in English.
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### Data Fields
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- `image`: a PIL.Image.Image object containing the image. Note that when accessing the image column (using dataset[0]["image"]), the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0].
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- `text`: the label transcription of the image.
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