How to improve a 14% your image matching with only one line of code? BEBLID is the key!

This repo represents our machine learning project Image Description which is used to generate a description of an image based on activities and objects detected in the image.

we generate captions to the images which are given by user(user input) using prompt engineering and Generative AI

Pyramid Histogram of Gradients descriptor implemented in both C++ and Python

Image Descriptor with Visual Attention Mechanism Using Long Short-term Memory

Realtime Face Recognition from Webcam Feeds

This project aimed to develop a local colorimetric descriptor for images.

Global Image Descriptors

This project generates description about an image which is very much useful for visually impaired people where image descriptions can be read out, enabling them to get a better sense of their surroundings.

Ce projet a pour but de mettre en pratique les connaissances acquises en traitement d'image.

Codes from the couse of Image Processing (IP) of University of São Paulo (USP).

Implementation of our paper published in ISPRS Journal of Photogrammetry and Remote Sensing

Welcome to the Image Descriptor System! This cutting-edge tool provides detailed analyses and descriptions of your uploaded images. Whether you're curious about the contents of a photo or require a comprehensive analysis, our system delivers precise and insightful descriptions. Designed for ease of use and high accuracy.