Based on kaggle RSNA Pediatric Bone Age Prediction from X-Rays
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Updated
Nov 15, 2018 - Python
Based on kaggle RSNA Pediatric Bone Age Prediction from X-Rays
Age Gender Prediction by Caffe
Age and Gender Prediction
Taken dataset from UC for above task used Linear Ridge Regression for Performing it. Normalisation, Debugging, Plotting Graphs .
Age and gender prediction using deep learning (convolution neural networks)
Pytorch implementation of DEX: Deep EXpectation of apparent age from a single image
To train IMAGE CLASSFIER Deep Learning model using CNN. Easy_To_use. one call for all type of image classfication eg: emotion detection, gender classfication, etc.,
A Python project which can detect gender and age using OpenCV of the person (face) in a picture or through webcam.
C3AE: Age Estimation. Implemented in Notebook(Google Colab) using keras.
A gender detection and age prediction web application built using Flask, Open CV, HTML & CSS. Built the backend solution of the application. Integrated the OpenCV code as well as frontend developed by my fellow teammates with the flask backend.
A Python project which can detect gender and age using OpenCV of the person (face) in a picture or through webcam.
OpenVINO Python sample program - Face detection, People detection, Age/gender estimation, Pose estimation
Detect entered value is AGE or in YEAR and tell your age in a particular year or when you will be 100. Also detect if you born yet or an immortal, living more than over the century.
Omni-supervised domain adversarial training for WM hyperintensity segmentation
An automated Face Mask detection system and age prediction with Email Authentication is built using the Deep Learning technique called Convolutional Neural Networks (CNN).
recops is a facial analysis framework, an AI forensic toolkit designed specifically for visual investigations and analysis workflows in OSINT research.
The FaceAB software is a graphical interface program that uses advanced machine learning algorithms to perform real-time face recognition, age prediction, and gender prediction. Developed by Mohamad Aboud
CTU FEE diploma thesis project focusing on creating big dataset of facial images annotated with age and other attributes related to the person such as birth date, death date, gender, occupation, and so on. The created dataset can be used in wide variety of machine learning tasks.
Major Project
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