| --- |
| license: mit |
| language: |
| - en |
| task_categories: |
| - image-to-text |
| pretty_name: IAM-line |
|
|
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: text |
| dtype: string |
| splits: |
| - name: train |
| num_examples: 6482 |
| - name: validation |
| num_examples: 976 |
| - name: test |
| num_examples: 2915 |
| dataset_size: 10373 |
| tags: |
| - atr |
| - htr |
| - ocr |
| - modern |
| - handwritten |
| --- |
| |
| # IAM - line level |
|
|
| ## Table of Contents |
| - [IAM - line level](#iam-line-level) |
| - [Table of Contents](#table-of-contents) |
| - [Dataset Description](#dataset-description) |
| - [Dataset Summary](#dataset-summary) |
| - [Languages](#languages) |
| - [Dataset Structure](#dataset-structure) |
| - [Data Instances](#data-instances) |
| - [Data Fields](#data-fields) |
|
|
| ## Dataset Description |
|
|
| - **Homepage:** [IAM Handwriting Database](https://fki.tic.heia-fr.ch/databases/iam-handwriting-database) |
| - **Paper:** [The IAM-database: an English sentence database for offline handwriting recognition](https://doi.org/10.1007/s100320200071) |
| - **Point of Contact:** [TEKLIA](https://teklia.com) |
|
|
| ## Dataset Summary |
|
|
| 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. |
|
|
| Note that all images are resized to a fixed height of 128 pixels. |
|
|
| ### Languages |
|
|
| All the documents in the dataset are written in English. |
|
|
| ## Dataset Structure |
|
|
| ### Data Instances |
|
|
| ``` |
| { |
| 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=2467x128 at 0x1A800E8E190, |
| 'text': 'put down a resolution on the subject' |
| } |
| ``` |
|
|
| ### Data Fields |
|
|
|
|
| - `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]. |
| - `text`: the label transcription of the image. |
|
|
