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Dataset assetOpen Source CommunityText DatasetHandwritten Recognition
IAM Handwriting dataset
The IAM Handwriting dataset contains 115,320 isolated and labeled word images written by 657 different authors.
Source
github
Created
Jun 28, 2020
Updated
Mar 8, 2024
Signals
515 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
Dataset Name
IAM Handwriting dataset
Dataset Contents
- Includes 115,320 isolated, labeled word images.
- Written by 657 distinct authors.
Dataset Download
- The dataset can be downloaded here.
Intended Use
Used for handwritten text recognition, employing convolutional neural networks (CNN) and bidirectional GRU (Bi‑directional GRU) with CTC decoding.
Performance
- Recognition accuracy on the test set is 59%.
- Errors may stem from improper handling of GRU gates.
Future Improvements
- Plans to utilize cloud virtual machines and pre‑trained language models to correct spelling errors and boost recognition accuracy.
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