Age And Gender Recognizer

A simple Face Obfuscation program written in Python and OpenCV

This is a system to detect people if they are wearing mask or not on the entry point.

PING Project at ESILV : Goalkeeper recognition with pre-trained neural network (caffe model).

mask detector web based using flask python

Detection as well as identification of faces

This project helps us colourize Black and White images by using OpenCV, Deep learning and Python. Deep learning comes into play where no objects are given an absurd colour, eg: a sea cannot be hot pink.

Real Time Face Mask Detector with TensorFlow (Keras), OpenCV. By Caffe model detecting Face then Classify whether person wearing Mask or Not based on trained model on base of mobilenet_v2 model with pre-trained weights of 'imagenet'.

Age prediction using Caffe Pretrained Model.

Generate a coloured image/video from a grayscale image/video. Uses the Caffe Model to predict 'ab' channel values from 'L' intensity value for each pixel.

Pose Estimation of Random Bin Picking Task

A Deep Neural Net-based face detection project, making use of Caffe implementation of resnet10 architecture to detect the faces in the images, videos, or using a webcam with good accuracy.

A Smart Attendance System using OpenCV for facial recognition to automate attendance tracking.

Practice project for real time object detection

Assistive Goggle for Blind People

This project is mainly based on Convolution Neural Network and OpenCV.

Face Mask Detection is the task of recognizing if a person is wearing a mask or not using Machine Learning technology.

This project combines pre-trained Caffe models and OpenCV for age and gender detection in images and videos. It uses OpenCV to load models, identify faces, predict age and gender, and display results visually. The stack includes OpenCV for computer vision and Caffe for deep learning, enabling real-time analysis for insights in market research