Enhanced YOLOv8 for Efficient Parcel Identification in Disordered Logistics Environments
Abstract Accurate parcel identification in disordered logistics environments poses significant challenges due to varying package sizes, materials, and orientations. This study presents an improved YOLOv8-Efficiency algorithm tailored for such complex scenarios. The proposed algorithm introduces the...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-04-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44196-025-00794-8 |
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