SmellNet is a comparatively large dataset for sensor-based machine olfaction: real-world smell measurements collected from a compact array of low-cost metal-oxide (MOX) gas sensors.
The dataset supports:
single-substance recognition from multichannel sensor time series
mixture distribution prediction from odor mixtures
cross-modal learning with paired GC-MS-derived chemistry priors
research on temporal modeling for smell sensing
The accompanying paper introduces… See the full description on the dataset page:
https://huggingface.co/datasets/DeweiFeng/SmellNet.
