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PostgreSQL-native semantic search engine with multi-modal capabilities. Add AI-powered search to your existing database without separate vector databases, vendor fees, or complex setup. Features text + image search using CLIP embeddings, native SQL joins, and 10-minute Docker deployment.
DogSearch is an interactive platform for image similarity and text-to-image search. It allows users to upload images, search for similar images based on text or uploaded images, and store image embeddings in a database. Powered by CLIP and Faiss, the platform offers efficient similarity search and image retrieval functionality.
This repo contains a Python script, top_five_similar.py, which can be used to calculate the colour histogram of an image and compare it to all other images in a folder. It returns a csv file with the top 5 most similar images in the folder (when comparing colour histograms).
Python is used for this classification and no extra libiary is used(made from scratch) All the training data is in training folder, ade testing data is in testing folder. this programe classify mobile, pant and t-shirt. name of the image is written is the format of trainij or testij where i and j are the number used in for loop to access them. t…
A simple Django web app that enables users to upload and download images securely. It handles image storage, validation, and generates download links. Built with Django’s MVC architecture, it provides a clean interface and can be extended for advanced file management.