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pro vyhledávání: '"Coll Josifov, Richard"'
Autor:
Coll Josifov, Richard
This project consists of the training of a convolutional neural network based on the YOLO approach for the systematic detection and classification of objects in a street as seen from a drone flying over them, to then be used for an algorithm to predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3484::fef7b2b8b75611f3f119b02b0cd7e88d
https://hdl.handle.net/2117/372899
https://hdl.handle.net/2117/372899
Autor:
Coll Josifov, Richard
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
This project consists of the training of a convolutional neural network based on the YOLO approach for the systematic detection and classification of objects in a street as seen from a drone flying over them, to then be used for an algorithm to predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::d845ee66d45f1b274c0e04aae9a18323
http://hdl.handle.net/2117/372899
http://hdl.handle.net/2117/372899
Publikováno v:
RUC. Repositorio da Universidade da Coruña
instname
instname
[Abstract] In this paper, YOLOv4 neural networks are trained with the goal of detecting and classifying objects from a street as seen from a drone. These have been trained on the VisDrone dataset, which is firstly validated through a custom-made grap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17ed180d4224036ff3d7fbd1e33fad5e
https://hdl.handle.net/2183/31411
https://hdl.handle.net/2183/31411