HIGHLIGHTS
- who: Thejus Pathmakumar et al. from the Engineering Product Development, Singapore University of Technology and Design have published the paper: Toward a Comprehensive Domestic Dirt Dataset Curation for Cleaning Auditing Applications, in the Journal: Sensors 2022, 22, 5201. of /2022/
- what: The general objective of this research work is subdivided into the following: 1.
- how: The identified dirt classes for the dataset are provided in the Table 1. The quality of the dataset is analyzed by inspecting the accuracy of the state-of-the-art AI-based image classification models trained using it . . .
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