Datasets:
Commit
·
d3280ef
1
Parent(s):
7da8fe2
Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,14 @@
|
|
1 |
---
|
2 |
license: cc0-1.0
|
3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
license: cc0-1.0
|
3 |
---
|
4 |
+
|
5 |
+
# 19th Century United States Newspaper Advert images with 'illustrated' or 'non illustrated' labels
|
6 |
+
|
7 |
+
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/).
|
8 |
+
|
9 |
+
> [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/
|
10 |
+
|
11 |
+
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'.
|
12 |
+
|
13 |
+
This dataset was created for use in an under-review 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. The data is shared here since it may be useful for others. This data documentation is a work in progress and will be updated when the Programming Historian tutorial is released publicly.
|
14 |
+
|