A treasure chest for visual classification and recognition powered by PaddlePaddle

🍰🍎ColugoMum: Intelligent Retail Settlement Platform can accurately locate and identify each commodity, and can return a complete shopping list and the actual total price of commodities that customers should pay.

Content-Based Image Retrieval (CBIR) using Faiss (Facebook) and many different feature extraction methods ( VGG16, ResNet50, Local Binary Pattern, RGBHistogram)

reverse image search and similarity search engine

🍰🍎袋鼯麻麻—智能零售结算平台致力于为中小型线下零售体验店提供基于视觉的零售结算方案。

A simple image search engine

Text and Content based Image Retrieval

A content-based image retrieval (CBIR) system.

This is an Image Retrieval System based on Color-features and Edge Dection (Canny edge detector), uses C++ as the development language, Qt5.12 as the main development framework for interface design, OpenCV4.4 as the development tool library, and MySQL database to design and implement the functions of the system.

Using CLIP or ViT to embedding image. Save the embeddings to Faiss and excute the query.

Here is an image retrieval system using mongodb vector search features. Images has been converted into embeddings via a huggingface transformer model.

TalkYou is an innovative open-source project designed to enable users to have a chat with any YouTube video. It brings you a customized chatbot experience, not only with the ability to chat but also with an amazing feature of image retrieval based on your queries.

📚A book recommendation and classification system as well as a simple image retrieval system, using the Goodreads dataset.

University project for elective course Digital Image Processing and Analysis.

Image Retrieval

Information Retrieval, Extraction and Integration course assignments using OpenCV and AdaRank.