Abstract
As the first one-stage detection algorithm in the field of object detection, the YOLO algorithm has opened up a new direction in the field of object detection with its simple and fast detection method and is widely used in various fields of agriculture. This article mainly takes animal phenotypes as the research target and elaborates on the YOLO series of algorithms from the following aspects: (1) the development of the YOLO algorithm; (2) the dataset and preprocessing; (3) the application fields of the YOLO algorithm; and (4) future development directions. Thus, it provides readers with new understandings and considerations in the field of animal phenotypes.
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CITATION STYLE
Li, G., Jian, R., Jun, X., & Shi, G. (2025, April 1). A Review of You Only Look Once Algorithms in Animal Phenotyping Applications. Animals. Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/ani15081126
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