CDW materials Computer Vision Project

Xamk YmpTKI

Updated 19 days ago

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Classes (12)
cover
electronic-waste
empty
gravel
insulator-wool
metal
mixed-waste
plasterboard
polystyrene
roofing-felt
wood
wood-panel

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Description

Project by South-Eastern Finland University of Applied Sciences (XAMK) // KIELO-project.

A computer vision model for identifying construction and demolition waste (CDW) materials from photographs.

Only containers holding materials will be detected.

Photographs are mainly aerial, taken with various drones (DJI Mini 3 Pro, Mavic 2 Pro, Phantom 4 Pro V2).

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Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            cdw-materials_dataset,
                            title = { CDW materials Dataset },
                            type = { Open Source Dataset },
                            author = { Xamk YmpTKI },
                            howpublished = { \url{ https://universe.roboflow.com/xamk-ymptki/cdw-materials } },
                            url = { https://universe.roboflow.com/xamk-ymptki/cdw-materials },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { nov },
                            note = { visited on 2024-12-18 },
                            }
                        
                    

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