Detection of egg appreance based on Fasternet and YOLOv5 model
ObjectiveEfficiently identify eggs with defects on their appearance in the automatic production process.MethodsDesigned a detection model based on fusing Fasternet module and YOLOv5s. The model used the Kmeans ++ algorithm to re-cluster the dataset and optimizeed the bounding box. The Bottleneck mod...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Editorial Office of Food and Machinery
2024-08-01
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| Series: | Shipin yu jixie |
| Subjects: | |
| Online Access: | http://www.ifoodmm.com/spyjx/article/abstract/20240815?st=article_issue |
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