Training method, character recognition method and device, storage medium and electronic equipment

The invention provides a training method, a character recognition method and device, a storage medium and electronic equipment. According to the method, the machine learning model is trained through the sample images with multiple colors, multiple character sizes, multiple fuzzy layers and multiple character inclination angles, so that the trained machine learning model can adapt to to-be-recognized images of different styles, and the adaptability of the machine learning model to different scenes is improved. 本申请提供一种训练方法、文字识别方法、装置、存储介质及电子设备。通过多种颜色、多种文字大小、多种模糊层度以及多种文字倾斜角度的样本图像对机器学习模型进行训练，使得训练好的机器学习模型，能够适应不同样式的待识别图像，进而提高了该机器学习模型对不同场景的适应能力。