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--- |
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annotations_creators: |
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- expert-generated |
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language: [] |
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language_creators: [] |
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license: |
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- cc0-1.0 |
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multilinguality: [] |
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pretty_name: 19th Century United States Newspaper Advert images with 'illustrated' |
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or 'non illustrated' labels |
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size_categories: |
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- n<1K |
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source_datasets: [] |
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tags: |
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- lam |
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- historic newspapers |
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task_categories: |
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- image-classification |
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task_ids: |
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- multi-class-image-classification |
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--- |
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# 19th Century United States Newspaper Advert images with 'illustrated' or 'non illustrated' labels |
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The Dataset contains images derived from the [Newspaper Navigator](news-navigator.labs.loc.gov/), a dataset of images drawn from the Library of Congress Chronicling America collection (chroniclingamerica.loc.gov/). |
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> [The Newspaper Navigator dataset](https://news-navigator.labs.loc.gov/) consists of extracted visual content for 16,358,041 historic newspaper pages in Chronicling America. The visual content was identified using an object detection model trained on annotations of World War 1-era Chronicling America pages, including annotations made by volunteers as part of the Beyond Words crowdsourcing project. source: https://news-navigator.labs.loc.gov/ |
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One of these categories is 'advertisements. This dataset contains a sample of these images with additional labels indicating if the advert is 'illustrated' or 'not illustrated'. |
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This dataset was created for use in a [Programming Historian tutorial](http://programminghistorian.github.io/ph-submissions/lessons/computer-vision-deep-learning-pt1). The primary aim of the data was to provide a realistic example dataset for teaching computer vision for working with digitised heritage material. |
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