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...
| Veröffentlicht in: | 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: | Online-Aufsatz |
| Sprache: | English |
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2024
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| Zugriff auf das übergeordnete Werk: | Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA |
| Schlagworte: | Journal Article Waste segmentation WasteSAM artificial intelligence recycling automation robotic construction segmentation metrics |
| Online verfügbar |
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