Image classification method and image classification system

The invention discloses an image classification method and an image classification system. The method comprises the following steps: carrying out image feature extraction on a target image group to obtain a first image feature; and inputting the first image feature into a pre-established classification training model, and obtaining classification information of the target image group through classification identification of the classification training model. The pre-established classification training model is obtained by training the features of a classified image file sample, and the classified image file sample comprises the pre-extracted image features of the classified image file. The mixed images can be classified based on the classification model, the image processing efficiency isimproved, and the manual processing cost is reduced. 本发明公开了一种图像分类方法及系统，通过对目标图像组进行图像特征提取，得到第一图像特征；将第一图像特征输入预先建立的分类训练模型中，通过分类训练模型的分类识别，得到目标图像组的分类信息。由于预先建立的分类训练模型为通过对已分类的图像文件样本特征训练得到的，且已分类的图像文件样本包括预先提取到的已分类的图像文件的图像特征。实现了可以基于分类模型