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SherlockNet data

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sherlocknet_lookup_python_picklefiles.zip

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46.29 MB

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sherlocknet_tags_csv.zip

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Resource type
Dataset
Creator (Person)
Zhao, Luda
Do, Brian
Wang, Karen
Date published
2017
Abstract
Using Convolutional Neural Networks to Explore Over 400 Years of Book Illustrations: Starting from February 2016, as part of the British Library Labs Competition, we embarked on a collaboration with the British Library Labs and the British Museum to tag and caption the entire British Library 1M Collection, a set of 1 million book illustrations scanned from books published between 1500 and 1900. We proposed to use convolutional neural networks (CNNs) to perform this automatic tagging and captioning. In addition, we proposed deeper analysis of temporal trends in these images using the explanatory power provided by neural networks.
Contributor (person)
Fitzgerald, Neil
ORCIDORCID logo
Publisher
British Library
Place of publication
London, UK
Official URL
https://doi.org/10.21250/sherlocknet1
Related URL
https://github.com/ludazhao/SherlockNet
Rights statement
In Copyright
Licence
https://opensource.org/licenses/MIT
DOI
10.21250/sherlocknet1
Keywords
digitised
images
tagging
books
sherlocknet
tags
Flickr
Microsoft
Additional information
See the readme file for content notes.
Collection
British Library Labs: Projects
SherlockNet
British Library Datasets
Managed by the British Library and supported by the AHRC

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