SmellNet supplies 828k gas-sensor time series across 50 substances plus 43 mixtures; ScentFormer reaches 63.3% top-1 accuracy on classification and 50.2% top-1@0.1 on mixture prediction.
Qualitative and quantitative analysis of volatile organic compounds using transient and steady-state responses of a thick-film tin oxide gas sensor array
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SmellNet: A Large-scale Dataset for Real-world Smell Recognition
SmellNet supplies 828k gas-sensor time series across 50 substances plus 43 mixtures; ScentFormer reaches 63.3% top-1 accuracy on classification and 50.2% top-1@0.1 on mixture prediction.