face-classifier

There are 0 repository under face-classifier topic.

wondonghyeon / face-classification
Face model to classify gender and race. Trained on LFWA+ Dataset.
face-detection face-recognition face-classifier deep-learning race-classification gender-classification
Language:Jupyter Notebook 150
tupleblog / face-classification-js
Face classification on JavaScript
face-classifier face-detection
35
YanngLiu / photo_classifier_per_person
Photo classifier per person
face-classifier machine-learning python3
Language:Python 7
ravising-h / Face_Classification
It is a Easy, powerful and Simple face verification system.
face-recognition face-detection face-classifier feature-extraction resnet-50 cosine-similarity
Language:Python 4
HxnDev / Live-Face-Detection
This project contains an implemented version of Face Detection using OpenCV and Mediapipe. This is a code snippet and can be used in projects.
face-detection face-detection-using-opencv opencv opencv-python python code detect-face face-classifier
Language:Python 3
nikita9604 / Style-Transfer-onto-Real-Time-Images
Image Style Transfer onto Real-time Smile Detected captured images
neural-style-transfer smile-detection real-time-processing optimisation cnn face-classifier computer-vision image-processing style-transfer python tensorflow opencv keras
Language:Jupyter Notebook 3
0gaurav / pca_face_classification
The aim of this project is to classify the faces. Olivetti Faces dataset has been used. In this dataset there are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no glasses). All the images were taken against a dark homogeneous background with the subjects in an upright, frontal position (with tolerance for some side movement). The “target” for this database is an integer from 0 to 39 indicating the identity of the person pictured. Each of the sample images needs to be classified in the classes ranging from 0 to 39. PCA has been applied to reduce the dimensionality. Then various classification and regression techniques are used with and without using PCA and the accuracy and time taken by the algorithms are recorded. Algorithms used: SVM, KNN, logistic regression, neural networks, linear regression and random forests.
pca face-classifier olivetti-dataset matplotlib-pyplot model-selection tensorflow svm one-hot-encoding face-recognition knn-classification linear-regression logistic-regression time comments python machine-learning-algorithms machine-learning data-science
Language:Jupyter Notebook 1
Arshita27 / Face_Classification_1
Solve classification of an image into face and non-face using 5 different techniques
image-processing image-classification computer-vision gaussian-mixture-models factor-analysis tdistribution face-classifier python opencv
Language:Python 1
hgarud / Face_Classification
A comparative study between 5 different binary classification techniques.
computer-vision face-classifier image-classification-algorithms python opencv expectation-maximization-algorithm gaussian-distribution gaussian-mixture-models t-distribution factor-analysis
Language:Python 1
Lucifergene / Face-Classifier-Transfer-Learning
AI Driven Face Recognizer Model powered by Transfer Learning
video transfer-learning face-classifier
Language:Jupyter Notebook 1
sachink1729 / Human-characters-detection-from-a-video-The-Office-S06E01-Computer-vision-and-Facenet
This is a self mini project that I undertook for my learning process. I have taken an episode from my favourite TV series called The Office (US) S06E01. Using this episode I have extracted images & using those images I have classified 17 characters using CV2 and Facenet Model.
character-recognition characters cnn-classification computer-vision extractor face-classifier facenet-trained-models facial-detection facial-recognition human-face-detection image mini-project mtcnn-face-detection project the-office tv-series tv-shows video video-to-images
Language:Jupyter Notebook 1
sangbijaksana / proyek-akhir-dsa
Final Project of Data Science & Algorithm Course
data-science ethnicity-classifier face-classifier
Language:Jupyter Notebook 0
sid0407 / Face_Recognition
Face detection and recognition into 6 classes of some famous personalities.
face-detection face-recognition celebrity-recognition face-classifier face-classifier-trainer classes python notebook dlib dlib-face-detection dlib-face-recognition vgg-face human-face-detection softmax-regression bounding-box
Language:Jupyter Notebook 0
ssyjgs1 / Northeast-Asian-Age-Gender-Classifier
Classifying by age and gender using a dataset of Northeast Asian face photos
asian face-classification face-classifier
Language:Python 0
swagatika15 / FACE-CLASSIFICATION
The aim of this project is to classify the faces. Olivetti Faces dataset has been used. In this dataset there are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no glasses). All the images were taken against a dark homogeneous background with the subjects in an upright, frontal position (with tolerance for some side movement). The “target” for this database is an integer from 0 to 39 indicating the identity of the person pictured. Each of the sample images needs to be classified in the classes ranging from 0 to 39. PCA has been applied to reduce the dimensionality. Then various classification and regression techniques are used with and without using PCA and the accuracy and time taken by the algorithms are recorded. Algorithms used: SVM, KNN, logistic regression, neural networks, linear regression and random forests.
olivitti-faces-dataset face-classifier pca svm-classifier knn-classification logist linear-regression neural-networks random-forest sklearn-decomposition model-selection tensorflow one-hot-encoding time sklearn-estimator sklearn-tensorflow-ml sklearn-accuracy numpy matplotlib-pyplot
Language:Jupyter Notebook 0
Ankita18Mandal / Face_Recognition
Face Detection and Recognition on some famous personalities
face-recognition face-detection ai ml colab-notebook prediction vgg16 face-classifier
Language:Jupyter Notebook
Bidur-Khanal / RaFD-Face-Classifier
This repository contains a resnet-18 based face classifier. It can be used to train/test RAFD dataset.
rafd face-classifier stargan generative-adversarial-network
Language:Python

face-classifier

wondonghyeon / face-classification

tupleblog / face-classification-js

YanngLiu / photo_classifier_per_person

ravising-h / Face_Classification

HxnDev / Live-Face-Detection

nikita9604 / Style-Transfer-onto-Real-Time-Images

0gaurav / pca_face_classification

Arshita27 / Face_Classification_1

hgarud / Face_Classification

Lucifergene / Face-Classifier-Transfer-Learning

sachink1729 / Human-characters-detection-from-a-video-The-Office-S06E01-Computer-vision-and-Facenet

sangbijaksana / proyek-akhir-dsa

sid0407 / Face_Recognition

ssyjgs1 / Northeast-Asian-Age-Gender-Classifier

swagatika15 / FACE-CLASSIFICATION

Ankita18Mandal / Face_Recognition

Bidur-Khanal / RaFD-Face-Classifier