Image dataset for foreign object detection in iron ore conveyor belt systems.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorSousa, Frederico Luiz Martins de-
Autor(es): dc.creatorOliveira, Thiago Eustaquio Alves de-
Autor(es): dc.creatorSilva, Saul Emanuel Delabrida-
Autor(es): dc.creatorCoelho, Bruno Nazário-
Data de aceite: dc.date.accessioned2025-08-21T15:52:26Z-
Data de disponibilização: dc.date.available2025-08-21T15:52:26Z-
Data de envio: dc.date.issued2025-08-13-
Data de envio: dc.date.issued2024-
Fonte completa do material: dc.identifierhttps://www.repositorio.ufop.br/handle/123456789/20836-
Fonte completa do material: dc.identifierhttps://doi.org/10.1016/j.dib.2025.111537-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1026213-
Descrição: dc.descriptionThis paper presents a dataset of high-speed recordings of iron ore flowing on a laboratory-scale conveyor belt, captured with top-down videography and organized to highlight both regular operation and the presence of foreign objects. The conveyor belt measures 35 cm in width by 1.10 m in length. It operates at adjustable speeds and is powered by an electric motor to transport hematite and selected contaminants, such as wood pieces or plastic fragments. An NVIDIA Jetson TX2, equipped with its onboard OV5693 camera, recorded the footage at 120 frames per second in 1280 × 720 resolution, using a GStreamer pipeline to stream the video directly to disk. Individual frames were then extracted and sorted into subfolders, distinguishing normal operations from segments containing manually introduced anomalies. Additional sub- sets further categorize objects by type, enabling adaptation to various detection or classification approaches. This resource is intended to facilitate comparative evaluations of image- based detection approaches in a controlled mining context while also supporting extended uses in computer vision re- search related to industrial material transportation.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsrestrito-
Direitos: dc.rightsThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Fonte: PDF do artigo.-
Palavras-chave: dc.subjectConveyor belt inspection-
Palavras-chave: dc.subjectIron ore transportation-
Palavras-chave: dc.subjectAnomaly detection-
Palavras-chave: dc.subjectComputer vision-
Palavras-chave: dc.subjectIron ore processing-
Título: dc.titleImage dataset for foreign object detection in iron ore conveyor belt systems.-
Aparece nas coleções:Repositório Institucional - UFOP

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