--- annotations_creators: - expert-generated language: [] language_creators: - expert-generated license: other multilinguality: [] pretty_name: National Library of Scotland Chapbook Illustrations size_categories: - 1K "Chapbooks were staple everyday reading material from the end of the 17th to the later 19th century. They were usually printed on a single sheet and then folded into books of 8, 12, 16 and 24 pages, and they were often illustrated with crude woodcuts. Their subjects range from news courtship, humour, occupations, fairy tales, apparitions, war, politics, crime, executions, historical figures, transvestites and freemasonry to religion and, of course, poetry. It has been estimated that around two thirds of chapbooks contain songs and poems, often under the title garlands." -[Source](https://data.nls.uk/data/digitised-collections/chapbooks-printed-in-scotland/) This dataset contains additional annotations for these chapbooks created by Giles Bergel and Abhishek Dutta. These annotations provide bounding annotations for illustrations contained on some of the Chapbook pages. [More Information Needed] ### Supported Tasks and Leaderboards - `object-detection`: the dataset contains bounding boxes for images contained in the Chapbooks - `image-classification`: a configuration for this dataset provides a classification label indicating if a page contains an illustration or not. The performance on the `object-detection` task reported in the paper [Visual Analysis of Chapbooks Printed in Scotland](https://dl.acm.org/doi/10.1145/3476887.3476893) is as follows: | IOU threshold | Precision | Recall | |---------------|-----------|--------| | 0.50 | 0.993 | 0.911 | | 0.75 | 0.987 | 0.905 | | 0.95 | 0.973 | 0.892 | [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information ``` bibtex @inproceedings{10.1145/3476887.3476893, author = {Dutta, Abhishek and Bergel, Giles and Zisserman, Andrew}, title = {Visual Analysis of Chapbooks Printed in Scotland}, year = {2021}, isbn = {9781450386906}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3476887.3476893}, doi = {10.1145/3476887.3476893}, abstract = {Chapbooks were short, cheap printed booklets produced in large quantities in Scotland, England, Ireland, North America and much of Europe between roughly the seventeenth and nineteenth centuries. A form of popular literature containing songs, stories, poems, games, riddles, religious writings and other content designed to appeal to a wide readership, they were frequently illustrated, particularly on their title-pages. This paper describes the visual analysis of such chapbook illustrations. We automatically extract all the illustrations contained in the National Library of Scotland Chapbooks Printed in Scotland dataset, and create a visual search engine to search this dataset using full or part-illustrations as queries. We also cluster these illustrations based on their visual content, and provide keyword-based search of the metadata associated with each publication. The visual search; clustering of illustrations based on visual content; and metadata search features enable researchers to forensically analyse the chapbooks dataset and to discover unnoticed relationships between its elements. We release all annotations and software tools described in this paper to enable reproduction of the results presented and to allow extension of the methodology described to datasets of a similar nature.}, booktitle = {The 6th International Workshop on Historical Document Imaging and Processing}, pages = {67–72}, numpages = {6}, keywords = {illustration detection, chapbooks, image search, visual grouping, printing, digital scholarship, illustration dataset}, location = {Lausanne, Switzerland}, series = {HIP '21} } ``` ### Contributions Thanks to [@github-username](https://github.com/) for adding this dataset.