Automated Facial Landmark Analysis vs. Manual Coding: Accuracy in Dog Emotional Expression Classification
Published: 23 October 2025| Version 1 | DOI: 10.17632/swk97wxzzg.1
Contributors:
, George Martvel, Anna Zamansky, Description
This dataset contains behavioural and facial landmark data from dogs recorded during a firework situation and a control evening without fireworks. The Excel sheet includes manually coded behaviours based on a predefined ethogram, along with descriptions of all variables used in the analysis. Additionally, two ZIP folders contain CSV files with facial landmark coordinates extracted from video frames. These datasets were analysed using two Python scripts, each corresponding to one analytical approach: (1) manual behaviour coding and (2) automated facial landmark analysis.
Files
Institutions
- Veterinarmedizinische Universitat Wien
- University of Haifa
- Jonkoping University
Categories
Animal Welfare, Behavior Coding, Applied Machine Learning