π Finding duplicate images made easy!
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Updated
Aug 15, 2025 - Python
π Finding duplicate images made easy!
Keras implementation of the Yahoo Open-NSFW model
π 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
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.
FaceFusion is an AI-powered tool that delivers high-quality face enhancements and realistic face swaps. Using models like GFPGAN, Real-ESRGAN, and InsightFace, itβs perfect for film studios, content creators, and designers seeking efficient and affordable visual effects if developed fully.
A python library for automated exploratory data analysis
Turn raw video into clean, reconstruction-ready datasets with smart frame filtering, semantic masking (YOLO/Mask R-CNN), and optional COLMAP SfM.
Professional & Modular Image Processing Library in Python
A computer visionβpowered smart self-checkout system that combines YOLOv11 for real-time product detection and Flask for a seamless, interactive billing interface β designed to revolutionize the retail experience.
Generic Image Sorter Interface for Streamlit
Image validation layer for AI pipelines
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.
CenOTAPH: COlour and Texture Analysis toolbox for PytHon
Preprocessing the images and saving them in a specific directory with python
π Fruits Classification App (Gradio) π
π§ TumorClassifier-RAW-vs-DIP β an advanced π¬ medical imaging platform π₯ with π€ AI-powered brain tumor classification 𧬠(MRI analysis π), π image preprocessing pipeline (RAW vs DIP comparison π), β‘ Linear SVM classifier π― for tumor detection, π performance metrics visualization π, interactive web π interface for real-time predictions.
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