😎 Finding duplicate images made easy!

Keras implementation of the Yahoo Open-NSFW model

:book: This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

[NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution

A simpler way of reading and augmenting image segmentation data into TensorFlow

House price estimation from visual and textual features using both machine learning and deep learning models

Designing and Training of A Dual CNN for Image Denoising (Knowledge-based Systems, 2021)

Face Recognition/Detection (image/video) using skin tone threshold algorithm, haar cascade for face detection and LBPH for face recognition. It also implements the concept of multithreaded server with multiple clients.

Algorithm to segment pectoral muscles in breast mammograms

Intensity normalization of structural MRIs using RAVEL

FaceFusion is an AI-powered tool that delivers high-quality face enhancements and realistic face swaps. Using models like GFPGAN, Real-ESRGAN, and InsightFace, it’s perfect for film studios, content creators, and designers seeking efficient and affordable visual effects if developed fully.

image filtering techniques in python with examples

A python library for automated exploratory data analysis

The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction

⛏️ Contains 4 python modules. Basic OCR using Google's Tesseract on single image and pdf. Auto orientation correction for scanned docs. Auto noise type detection and reduction. Watermark and stain removal on scanned docs. These modules act as preprocessing tools for the best OCR results.

Edge-preserving image smoothing algorithm

This repository contains all the files of the project OCR for Telugu.

Image Rating using CNN-based model.

This repository contains all my exercises and projects for computer vision.

Generic Image Sorter Interface for Streamlit

A computer vision–powered smart self-checkout system that combines YOLOv11 for real-time product detection and Flask for a seamless, interactive billing interface — designed to revolutionize the retail experience.

Remige is an advanced image compression framework, built as a fork of libSquoosh. By integrating Squoosh's powerful image codecs directly into JavaScript applications, Remige offers unparalleled compression performance and file size reduction. Designed for compatibility with the latest Node.js versions, Remige enhances image processing with modern

AI-powered crossword solver using clue recognition and web search

This program enables real-time face recognition for attendance marking. It uses a webcam or video input to detect and recognize faces in real-time. When a recognized face is identified with sufficient accuracy, the corresponding name is recorded in an attendance file named Attendance.csv, along with the timestamp of the recognition.

Implementation of fast Data Augmentation for Image Classification / Detection tasks.

Preprocessing the images and saving them in a specific directory with python

Professional & Modular Image Processing Library in Python

CenOTAPH: COlour and Texture Analysis toolbox for PytHon

This DR detection methodology has six steps: preprocessing, segmentation of blood vessels, segmentation of OD, detection of MAs and hemorrhages, feature extraction and classification. For segmentation of blood vessels BCDU-Net is used. For OD segmentation, U-Net model is used. MAs and hemorrhages are extracted using Otsu thresholding technique. Both clinical and non-clinical features are extracted and fed to SVM classifier.

Whole Slide Image mask preprocessing modules.