SherlockNet data

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.

Additional information

UniqueID

3205f8c5-f7dd-46fa-8bf4-9ac72f6fbb55

BL Dataset Provider

User Access Level

BL Labs Assistance

Authors

Zhao, Luda, Brian Do and Karen Wang

Contributors

Fitzgerald, Neil

Language

Year Added

Contact Person

British Library Labs

Location

Repository Cloud

Official URL

https://doi.org/10.21250/sherlocknet1

Is It Being Updated

Any Issues With Access

No

Files

sherlocknet_lookup_python_picklefiles.zip, sherlocknet-all_scores_12class.zip, sherlocknet-all_metadata_1M_tags.zip, sherlocknet-nearest_neighbors.zip, sherlocknet_tags_csv.zip, README-SHERLOCKNET.txt.html, sherlocknet-tags.zip

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