MultimodalGasData: Multimodal Dataset for Gas Detection and Classification

Published: 10 June 2022| Version 2 | DOI: 10.17632/zkwgkjkjn9.2
Parag Narkhede, Rahee Walambe, Pulkit Chandel, Shruti Mandaokar, Ketan Kotecha


The MultimodalGasData provides simultaneous measurements taken using seven different Gas Sensors and images taken using a Thermal Camera. Two different gases are considered, and a dataset is created for four classes – No Gas, Perfume, Smoke and Mixture of Perfume and Smoke. The dataset is collected using the seven different metal oxide gas sensors, MQ2, MQ3, MQ5, MQ6, MQ7, MQ8, MQ135 and a thermal imaging camera. The dataset consists of numerical values taken from gas sensors and images taken using a thermal camera.



Symbiosis International University Symbiosis Institute of Technology


Engineering, Artificial Intelligence, Gas, Deep Learning