Published October 23, 2023 | Version v2

The Economist Historical Advertisements - Objects Dataset

  • 1. Universität Mannheim
  • 2. KIT

Description

Description

This dataset contains 191.994 identified object locations and classes for all historical advertisements from all 8,840 issues of The Economist magazine, years 1843 to 2014. We used a state of the art classifier to detect the objects: https://tfhub.dev/google/openimages_v4/ssd/mobilenet_v2/1. You will need the The Economist Historical Advertisements – Master Dataset, as well, to work with the data.

Files

TheEconomistHistoricalArchives-Objects.csv

Files (29.8 MB)

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md5:7f4da107a39c9f77619fa4387b8f1aee
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Variables

Name Description
Filename Unique identifier of the advertisement this face appears on
Bounding Box relative X1 Left-top coordinate of a rectangle identifying the face on the page, relative to the pixel coordinates of the image from column 2 ("URLs …") of the Master Dataset (which is related to this dataset by the unique identifier in column 1). Multiply this value by the width of the image to get the absolute x coordinate. If the ad is a multi page ad, the images from column 2 have to be horizontally concatenated first.
Bounding Box relative Y1 Left-top coordinate
Bounding Box relative X2 Right-bottom coordinate
Bounding Box relativeY2 Right-bottom coordinate
Segmentation confidence score Confidence of the neural network algorithm that these bounding boxes represent a face.
Size relative 1 = Object covers all of the ad; 0.5 = Object covers half the ad.
Detection class id (from Open Image V4) Class index for the detected object within the list of 600 detectable objects of the Open Image V4 dataset.
Detection class name (from Freebase) Freebase MID of the detected object class.
Detection entity name (from Freebase) Freebase MID of the detected object class – in human readable format.

Details

Resource type Open dataset
Title The Economist Historical Advertisements - Objects Dataset
Creators
  • Kluge, Stefan ORCID icon
  • Contributors
  • Kluge, Stefan1 ORCID icon
  • Gehrmann, Leonie1
  • Stahl, Florian1
  • Nadj, Mario2
  • Knäble, Merlin2
  • Mädche, Alexander2
  • Research Fields Economic & Social History
    Size 29.8 MB
    Formats Comma-separated values (CSV) (.csv)
    License(s) Creative Commons Attribution 4.0 International
    Companies GALE
    Countries United States
    Dates of collection October 23, 2023