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--- |
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license: mit |
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language: |
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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: image |
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dtype: image |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_examples: 6482 |
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- name: validation |
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num_examples: 976 |
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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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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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## Dataset Description |
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- **Homepage:** [IAM Handwriting Database](https://fki.tic.heia-fr.ch/databases/iam-handwriting-database) |
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- **Paper:** [The IAM-database: an English sentence database for offline handwriting recognition](https://doi.org/10.1007/s100320200071) |
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- **Point of Contact:** [TEKLIA](https://teklia.com) |
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## 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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## Dataset Structure |
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### Data Instances |
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``` |
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{ |
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'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=2467x128 at 0x1A800E8E190, |
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'text': 'put down a resolution on the subject' |
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} |
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``` |
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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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