WiMi Hologram Cloud Inc. a leading global Hologram Augmented Reality (“AR”) Technology provider, announced that an image recognition system based on AIGC is developed. AIGC is an artificial intelligence generation technique based on deep learning algorithms, which can be trained on large-scale datasets and optimized algorithms to improve the accuracy and generalization ability of the network model. WiMi applies this cutting-edge technology to the field of image recognition, and develops an image recognition system based on AIGC.
Data pre-processing.
Data pre-processing is a necessary step in image recognition, which can make the image clearer and brighter, thus improving the accuracy of subsequent processing. In WiMi’s AIGC-based image recognition system, it uses a variety of data pre-processing techniques, such as image enhancement, denoising, and cropping. In addition, the data enhancement techniques can also rotate and flip the original data, thus expanding the number of training datasets, effectively improving the generalization ability of the model, and making the model more stable and reliable.
Feature extraction
Feature extraction is a critical step in image recognition. WiMi utilizes a deep learning algorithm for feature extraction. Deep learning algorithms automatically learn the feature information of an image by building a convolutional neural network (CNN) and extracting the most valuable features from it, and improving the accuracy and generalization ability of the model by training on large-scale datasets.
Classification
Classification is the key part of converting features into labels. Support Vector Machine (SVM) is used as a classifier.SVM is a binary classification model based on statistical learning theory, which can efficiently divide the sample space and has high classification accuracy. By using a SVM classifier, the system can achieve more accurate image recognition and classification.
WiMi’s AIGC-based image recognition system also supports a variety of functions, such as target detection, image segmentation, and image generation. These functions allow users to process and analyze images more conveniently. For example, in the field of target detection, the system can realize automated detection and classification by locating and labeling targets in images.
With the continuous development and application of AI technology, AIGC-based image recognition systems will become an important breakthrough in the field of image processing and analysis, which will bring more opportunities and challenges to various industries, and help socio-economic and scientific and technological development.
In the future, WiMi will also continue to devote itself to the research and development of AIGC-based image recognition technology, to promote the development of artificial intelligence technology in image recognition, to continuously optimize the system performance, and to provide users with more perfect product and services. WiMi believes that with the continuous development of artificial intelligence technology, the image recognition system will become more and more intelligent, bringing users a more convenient and efficient image processing and analysis experience.
SOURCE: PRNewswire
