Developed a comprehensive facial recognition application using Python, C++, SQLite, OpenCV, and TensorFlow. The application includes a graphical user interface built with Tkinter, supporting features like facial recognition, gender prediction, age prediction, and emotion detection. Containerized with Docker.

A lightweight, cross-platform, & accurate image sorter with facial recognition capabilities.

This project implements algorithms for detecting and recognizing characters from the Flintstone family using the HOG method along with a sliding window approach.

This is the last Project in order to obtain the Intel Edge AI Nanodegree from Udacity, the objective is to create an application capable of moving the computer pointer using only the movement from the head and eyes.

SynthWomb/Synthia: Python project using Hugging Face Transformers for GPT-2 NLP, TensorFlow for model management, and SDXL-Turbo for image processing. DeepFace predicts gender. Simple CLI offers Text-to-image and Image-to-image operations, with a built-in GAN for AI art.

Python library for analysing faces using PyTorch

🪨 Sliding window approach, using CNNs as classifiers for facial detection and recognition in "The Flinstones" 🪨

This application detects whether listings of paired pictures are of the same person. It is most often used to help ensure the same person is being interviewed across waves or to detect when someone enrolls more than once in a program.

An intuitive Python-based face recognition system that identifies individuals in images using a database of facial images. Perfect for security and personal projects!

Wahl-O-Selfie v2 is using facial recognition to categorize human faces into (german) political partys similar to "Wahl-O-Mat".

Wahl-O-Selfie v1 is using a self-trained machine learning model which categorizes human faces into (german) political partys similar to "Wahl-O-Mat".

A service that processes images to align detected faces, and return the aligned face as a base64-encoded string.

Mukhroop leverages traditional techniques, primarily relying on OpenCV, a powerful library for image and video processing. OpenCV provides pre-built functions for face detection, facial feature extraction. NumPy is used for efficient data handling as well

The Face Recognition System is a cutting-edge software application powered by state-of-the-art machine learning techniques. Experience accurate identification and verification of human faces in images and real-time video streams.

Open-CV Powered Python Facial Detection Attendance Software + Flask Site for Data Visualization

A facial recognition system using Siamese Neural Network based on one-shot learning.

Système de gestion de films avec détection faciale.

Set of code used for testing and functioning of the Raspberry Pi 4 project.

Use a webcam as a mirror to view your NYC/FB data identities

Este repositório apresenta uma implementação de identificação de rostos, utilizando as bibliotecas OpenCV e Mediapipe.