2026-10-15T10:21:36Z https://data.mendeley.com/oai

oai:data.mendeley.com/5g5hg9hrkv.2 2026-09-26T03:07:21Z

Rao, Sankirthan A Real World Dataset of Canine Emotions Using Video and Audio Mendeley Data This dataset was collected as part of a research effort to understand and recognize the emotional states of dogs through their natural behavior and vocalizations. The purpose of this collection was to investigate the feasibility of using both audio and visual data to recognize various dog emotions and lay the groundwork for automatic algorithms to recognize dog emotions. This data set has been gathered from various localities of Mangalore Approximately 127 audio-visual dog recordings collected for the study of Canine Emotion Recognition. The dataset consists of 4 emotion classes of unlabelled video recordings of dog: Happy, Sad, Angry, and Relaxed., These emotions are identified and assigned labels through the application of various clustering algorithms.. The dataset will contribute to the research and development of machine learning and deep learning algorithms for understanding and categorizing the emotional state of dogs based on visual and auditory cues. The recordings are suitable for emotion recognition in multimodal, audio-based, video-based and emotion classification systems. This dataset can serve as a basis for analyzing the correlation between the dog's behavior, expression and emotions for emotion recognition systems that recognize and process emotions automatically. Computer Science Artificial Intelligence Computer Vision Data Science Machine Learning Data Analysis Deep Learning Sanil, Keerthan K, Ankitha Dataset doi:10.17632/5g5hg9hrkv.2 oai:data.mendeley.com/5g5hg9hrkv.2 Attribution Noncommercial Noderivs 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/ https://data.mendeley.com/datasets/5g5hg9hrkv 2026-09-26T03:07:21Z