Training method of tray state recognition model and tray state recognition method

The embodiment of the invention provides a training method of a tray state recognition model and a tray state recognition method, and belongs to the field of image recognition. The training method comprises the following steps: acquiring an expected image acquired by an image acquisition device; carrying out tray temporary storage area-based segmentation and tray state category labeling on the expected image to obtain a training set; inputting the training set into a to-be-trained classification model in the to-be-trained models for iterative training to obtain a classification model; inputting the training set into a to-be-trained retrieval model in the to-be-trained models for iterative training to obtain a retrieval model; and combining the classification model and the retrieval model to obtain a tray state recognition model. 本发明实施例提供一种托盘状态识别模型的训练方法与托盘状态识别方法，属于图像识别领域。训练方法包括：获取图像采集装置采集的期望图像；对期望图像进行基于托盘暂存区域的分割与托盘状态类别标注，以获得训练集；将训练集输入待训练模型中的待训练分类模型进行迭代训练，以获得分类模型；将训练集输入待训练模型中的待训练检索模型进行迭代训练，以获得检索模型；将分类模型和检索模型结合得