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Image . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Image . 2025
License: CC BY
Data sources: Datacite
ZENODO
Image . 2025
License: CC BY
Data sources: Datacite
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Indoor Fire Smoke Dataset

Authors: Putra, Arya Krisna;

Indoor Fire Smoke Dataset

Abstract

This dataset contains 5,000 images of indoor environments with labeled objects for fire and smoke detection. Each image includes bounding box annotations for detecting visible fire and smoke in various indoor scenes such as homes, offices, and buildings. The dataset is divided into: 70% (3,500 images) for training 15% (750 images) for validation 15% (750 images) for testing All images are real and captured under different indoor conditions to support object detection model development for fire and smoke recognition in safety and monitoring systems.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average