Developing WasteSAM : A novel approach for accurate construction waste image segmentation to facilitate efficient recycling
The escalating volume of construction activities and resultant waste generation underscores the imperative for developing sophisticated segmentation models to facilitate efficient sorting and recycling processes. This study introduces WasteSAM, an enhanced iteration of the segment anything model (SA...
| Publié dans: | Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. - 1991. - (2024) vom: 18. Nov., Seite 734242X241290743 |
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| Format: | Article en ligne |
| Langue: | English |
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2024
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| Accès à la collection: | Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA |
| Sujets: | Journal Article Waste segmentation WasteSAM artificial intelligence recycling automation robotic construction segmentation metrics |
| Accès en ligne |
Volltext |