Search images with a text or image query, using Open AI's pretrained CLIP model.
An AI-powered natural language & reverse Image Search Engine powered by CLIP & qdrant.
图片搜索引擎，很简单。三步构建属于你自己的图片搜索引擎，掌握向量数据库和以图搜图、文本搜索图片。
Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering
Framework to build your own reverse image search engine
VFRAME: Visual Forensics and Metadata Extraction
This repository aims to implement an Image Search engine powered by the CLIP model.
Python Image Search Engine with OpenCV
This code implements a versatile image search engine leveraging the CLIP model and FAISS, capable of processing both text-to-image and image-to-image queries.
Content Based Image Retrieval System Implemented Using Python, Flask And OpenCV.
Simple image search engine by a text query using CLIP
A package to search image sources using google services
基于内容的图像检索系统 / content-based image retrieval system
Simple Image Search powered by Multimodal Foundation Models (OpenAI Clip and Microsoft GLIP)
Image Search Engine
A dead-simple image search / retrieval and image-text matching system for Bangla using CLIP
Text/Image search for similar products
Build content-based image retrieval system using deep learning, applied some large scale similarity search technicals like Kdtree, LSH, Faiss.
An image search implementation in python using tensorflow keras, scikit-learn, scipy and matplotlib.
Search for similar images using faiss & multimodal embeddings
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