Chroma-Actions Dataset: Acoustic Images
Published: 10 January 2023| Version 1 | DOI: 10.17632/r4r4m2vjvh.1
Contributors:
Muhammad Bilal Shaikh, , , Description
Chromagram-based representation of audio extracted from videos. These representations were extracted from the UCF-101 Human Action Recognition dataset. Only videos with audio channels were considered.
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Steps to reproduce
How the data were acquired Audios of human actions were extracted from UCF101, which was originally collected from YouTube. A script was devised to extract audios of actions from fifty-one different action categories: Archery, Cricket Shot, Hair Cutting, Playing Flute, Rafting, Sky Diving and so on. Data were arranged in two folders train and test to help researchers in evaluating their models.
Institutions
Edith Cowan University, University of Western Australia
Categories
Computer Vision Representation
Funding
Higher Education Commision, Pakistan
PM/HRDI-UESTPs/UETs- 456 I/Phase-1/Batch-VI/2018