Level Crossing Warning Bell (LCWB) Dataset
Acknowledgement These data are a product of a research activity conducted in the context of the RAILS (Roadmaps for AI integration in the raiL Sector) project which has received funding from the Shift2Rail Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme un...
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Zusammenfassung: | Acknowledgement These data are a product of a research activity conducted in the context of the RAILS (Roadmaps for AI integration in the raiL Sector) project which has received funding from the Shift2Rail Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement n. 881782 Rails. The JU receives support from the European Union’s Horizon 2020 research and innovation program and the Shift2Rail JU members other than the Union. Disclaimers The information and views set out in this document are those of the author(s) and do not necessarily reflect the official opinion of Shift2Rail Joint Undertaking. The JU does not guarantee the accuracy of the data included in this document. Neither the JU nor any person acting on the JU’s behalf may be held responsible for the use which may be made of the information contained therein. This "dataset" has been created for scientific purposes only - and WITHOUT ANY COMMERCIAL purposes - to study the potentials of Deep Learning and Transfer Learning approaches. We are NOT re-distributing any video or audio; our files just contain pointers and indications needed to reproduce our study. The authors DO NOT ASSUME any responsibility for the use that other researchers or users will make of these data. General Info The CSV files contained in this folder (and subfolders) compose the Level Crossing (LC) Warning Bell (WB) Dataset. When using any of these data, please mention: De Donato, L., Marrone, S., Flammini, F., Sansone, C., Vittorini, V., Nardone, R., Mazzariello, C., and Bernaudine, F., "Intelligent Detection of Warning Bells at Level Crossings through Deep Transfer Learning for Smarter Railway Maintenance", Engineering Applications of Artificial Intelligence, Elsevier, 2023 Content of the folder This folder contains the following subfolders and files. "Data Files" contains all the CSV files related to the data composing the LCWB Dataset: WB_data.csv (WB_labels.csv): representing data of the "Warning Bell (WB)" class; NA_data.csv (NA_labels.csv): representing data of the "No Alarm (NA)" class; GE_data.csv (GE_labels.csv): representing data of the "GEneric alarm (GE)" class. "LCWB Dataset" contains all the JSON files that show how the aforementioned data have been distributed among training, validation, and test sets: IT_Distribution.json and UK_distribution.json respectively show how Italian (IT) WBs and British (UK) WBs have been distributed; The same goes for NA_Distributi |
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DOI: | 10.5281/zenodo.7945411 |