MultimodalGasData: Multimodal Dataset for Gas Detection and Classification
Published: 10 June 2022| Version 2 | DOI: 10.17632/zkwgkjkjn9.2
Contributors:
Parag Narkhede, Rahee Walambe, Pulkit Chandel, Shruti Mandaokar, Ketan KotechaDescription
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.
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Institutions
Symbiosis International University Symbiosis Institute of Technology
Categories
Engineering, Artificial Intelligence, Gas, Deep Learning