
12/10/2021 · Zilliz
What this post added
This post details the construction of a trademark similarity search system using Milvus. It outlines a four-step process: preparing a logo dataset, training an image feature extraction model (specifically VGG16), converting logos into vectors, and storing/searching these vectors in Milvus. The post emphasizes the use of Milvus's vector similarity search capabilities and suggests organizing data into collections based on the International Classification of Goods and Services for improved search performance.