Smelly, dense, and spreaded: The Object Detection for Olfactory References (ODOR) dataset

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Mathias Zinnen, Prathmesh Madhu, Inger Leemans, Peter Bell, Azhar Hussian, Hang Tran, Ali Hürriyetoglu, Andreas K. Maier, Vincent Christlein

Published: 2024, Last Modified: 02 Mar 2025Expert Syst. Appl. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Dataset of 4712 artworks annotated with 38116 labelled object instances from 139 categories.•First dataset of smell-related objects in artworks.•Challenging dataset in terms of occlusion, object sizes, and spatial object distribution.•Extensive performance analysis of common object detection algorithms.