Набор данных из Zenodo · Barbara Pernici

Crowd4SDG-VisualCit COVID-19 behavioral indicators

Лицензия
CC BY 4.0можно в коммерцииТекст лицензии
Лицензия разрешает коммерческое использование. Обычно нужно указать автора — точные условия в тексте лицензии.
Форматы
DOCX, CSV, XLSX
Размер
41 МБ
Обновлён
12 мар. 2021 г.

Описание

This dataset contains the VisualCit data for social distance and face masks derived from social media image analysis. From Twitter crawls with COVID-10 keywords, images are filtered ewith ML classifiers in order to retrieve images of people in public places which are photos. With crowdsourcing additional information is added about COVID-19 related behavioral aspects, with the goal of deriving indicators for decision makers to assess the ongoing situation. In this analysis we focus on the percentages of people wearing masks and maintaining social distances. Reference paper: V. Negri, D. Scuratti, S. Agresti, D. Rooein, G. Scalia, J.L. Fernandez Marquez, A. Ravi Shankar, M. Carman and B. Pernici, Image-based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter, ICSE - Track Software Engineering in Society, May 2021 https://arxiv.org/abs/2010.03021 Abstract Social Media provides a trove of information that, if aggregated and analysed appropriately can provide important statistical indicators to policy makers. In some situations these indicators are not available through other mechanisms. For example, given the ongoing COVID-19 outbreak, it is…

Описание из Zenodo, сокращённое.

Файлы (24)

  • DOCXcrowd4SDG-VisualCit-COVID-19-metadata.docx16 кБ
  • CSV152_distancing_and_masks_2_results_geoloc_ok.csv2,6 МБ
  • CSV162_social_distancing_week_34_results_geoloc_ok.csv1,8 МБ
  • CSV106-info_4_0.csv4,7 кБ
  • CSV106-info_3.csv3,7 кБ
  • CSV106_CrawledTweets_25k.csv2,8 МБ
  • CSVWorn face mask 27Jul-02Aug_alpha3.csv213 кБ
  • CSVWorn face mask 17Aug-23Aug_alpha3.csv575 Б
  • CSVWorn face mask May11-17-alpha3.csv697 Б
  • CSV162_social_distancing_week_34_result.csv418 кБ
  • CSV162_info_4_0.csv3,7 кБ
  • CSV162_social_distancing_week_34_task.csv11 МБ
  • CSV162_info_3.csv2,4 кБ
  • CSV152_info_4_0.csv2,5 кБ
  • CSV152_info_3.csv1,6 кБ
  • XLSXcrowd4SDG-VisualCit-COVID-19_social_distancing_and_masks-crowd-question_structure.xlsx34 кБ
  • CSV152_distancing_and_masks_2_task_run.csv2,5 МБ
  • CSV152_distancing_and_masks_2_task.csv2 МБ
  • CSV106_social_distancing_and_masks_result.csv245 кБ
  • CSV152_distancing_and_masks_2_result.csv381 кБ
  • CSV162_social_distancing_week_34_task_run.csv3,8 МБ
  • CSV106_social_distancing_and_masks_task_run.csv2,9 МБ
  • CSV106_social_distancing_and_masks_results_geoloc_ok.csv1,3 МБ
  • CSV106_social_distancing_and_masks_task.csv8,8 МБ

DataHunter не хранит и не раздаёт эти файлы: каждая ссылка ведёт к первоисточнику. Перед использованием проверьте там лицензию.

Найти другие наборы