no code implementations • 5 Apr 2022 • Anssi Männistö, Mert Seker, Alexandros Iosifidis, Jenni Raitoharju
Applying machine learning tools to digitized image archives has a potential to revolutionize quantitative research of visual studies in humanities and social sciences.
no code implementations • 16 Jun 2021 • Mert Seker, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju
Identifying the main character in images plays an important role in traditional photographic studies and media analysis, but the task is performed manually and can be slow and laborious.
1 code implementation • 11 Mar 2021 • Mert Seker, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju
The World Health Organization (WHO) has provided guidelines on how to reduce the spread of the virus and one of the most important measures is social distancing.
1 code implementation • 22 Apr 2019 • Kateryna Chumachenko, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju
In this paper, we demonstrate the benefits of using state-of-the-art machine learning methods in the analysis of historical photo archives.