Vectorization of semantic features for words, sentences, articles, etc. is becoming the mainstream technology for natural language processing.
Milvus can support various applications in the field of computer vision with picture and video processing as its core, especially the efficient processing of ultra-large-scale data, making Milvus widely used in the field of computer vision.
Analyze and process audio data can greatly improve the accuracy of speech recognition. Its core is to vectorize related audio slices and judge the meaning of its expression through the calculation of vector distance.
Combine AI technology and the celebrity dataset to structure information about videos. Easily utilize Milvus for celebrity recognition in videos and implement the function to see the specific person.
Milvus can high-performance analysis of feature vectors generated by deep learning models on unstructured data, including object detection analysis in video.