WiMi Hologram Cloud Inc. has developed a novel image classification system based on a model network of continuous multi-scale feature learning system. This model benefits from multi-scale feature extraction and continuous feature learning and achieves better performance in terms of speed and accuracy. The system network contains three important steps namely data pre-processing, data learning and inference. The data pre-processing stage includes normalization, scaling and cropping of the images to make the data more convenient and efficient during the training process and to improve the accuracy and reliability of subsequent processing.
