Garbage classification detection system based on the YOLOv8 algorithm
To solve the problem of diverse types of household garbage that are difficult to classify accurately, a neural convolutional network-based garbage classification system that can be used for validation on unmanned vehicles is proposed. First, the garbage is classified into 44 categories by examining...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2024-12-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0244795 |
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