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 Kotecha

Description

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

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