Chapter Efficient Data Curation Using Active Learning for a Video-Based Fire Detection

Video-based fire detection is a crucial object detection problem that relies on accurate and reliable data to detect fires. However, collecting and labeling fire-related data can be time-consuming and expensive, making it difficult to obtain sufficient data for training machine learning models. To a...

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Hlavní autoři:	Joshi, Keyur, Dietrich, Philip, Aziz, Angelina, König, Markus
Médium:	Online
Jazyk:	angličtina
Vydáno:	Firenze University Press 2024
Témata:	Uncertainty Estimation Active Learning Object Detection Outlier Detection Feature-based cluster analysis Video-based Fire Detection thema EDItEUR::U Computing and Information Technology
On-line přístup:	ONIX_20240402_9791221502893_41
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!