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A Python-based implementation of an image search system using Milvus vector DB & image embeddings from ResNet.

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Milvus Image Search

A Python-based implementation of an advanced image search system utilizing Milvus vector database and image embeddings from ResNet.

Overview

This repository contains the implementation of an image search system using Milvus, a highly efficient vector database, combined with deep learning embeddings generated by a pre-trained ResNet model. The system converts images into high-dimensional vectors and uses these for fast and accurate image retrieval.

Features

  • Utilizes ResNet for generating robust image embeddings.
  • Employs Milvus for efficient storage and retrieval of high-dimensional image vectors.
  • Supports scalable image search with advanced indexing strategies.

Prerequisites

  • Python 3.8+
  • PyTorch
  • timm
  • PIL
  • pymilvus

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A Python-based implementation of an image search system using Milvus vector DB & image embeddings from ResNet.

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