SMELLNET: A Large-scale Dataset for Real-world Smell Recognition

Researchers have developed SmellNet, a large-scale database of approximately 180,000 samples capturing diverse natural smells, to advance AI-based scent recognition. Despite promising classification accuracy, the study highlights significant technical challenges in creating robust, real-time AI smell detection systems suitable for real-world applications.