IIITDMJ_Smoke

Citation Author(s):
Shubhangi
Chaturvedi
Chandravanshi
Shubham Arun
Poornima
Singh Thakur
Pritee
Khanna
Aparajita
Ojha
Submitted by:
Shubhangi Chaturvedi
Last updated:
Mon, 07/08/2024 - 15:58
DOI:
10.21227/rmbw-3z21
License:
0
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Abstract 

Most of the current smoke detection techniques are developed using CCTV images. To identify the wildfire early, it can be useful to deploy satellite imagery and develop models that can recognize smoke in forest areas. However, very few labelled satellite image datasets are available to build the wildfire smoke detection model. In order to find a solution to this problem, a dataset consisting 23, 644 satellite images was gathered. The dataset is divided into four categories: smoke, smoke with fog, non-smoke, and non-smoke with fog. These categories were chosen so that smoke could be identified in both normal and foggy environmental situations. 

Instructions: 

The dataset is useful for building smoke detection models that can detect smoke in both normal and foggy weather.