The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
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Updated
May 13, 2023 - C#
The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
Gender detection (from scratch) using deep learning with keras and cvlib.
🔉 👦 👧Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)
Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
Face model to classify gender and race. Trained on LFWA+ Dataset.
👀 iOS11 demo application for age and gender classification of facial images.
face recognition, detection of facial attributes (age, gender, emotion and race) for python.
3DiVi Face SDK is a set of software components (code libraries) for building face recognition solutions
A Cross-Platform(Web, Android, iOS, Linux and Macos) app to Generate Faces of People (These people don't actually exist) made using Flutter.
A Python package for gender classification.
A Browser extension that enables you to navigate the web with respect for your Islamic values, protect your privacy and reduce browsing distractions by auto detecting and blurring "Haram" content.
♂️♀️ Detect a person's gender from a voice file (90.7% +/- 1.3% accuracy).
Human Image Gender Classifier for Expressive Body Capture
This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
Face recognition using dlib and kNN classification (ROS compatible)
Predict Age and Gender of people from images | Determination of gender and age
A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.
Two-stream CNN for gender classification and biometric identification using a dataset of 11K hand images.
Machine Learning - End to End Data Science Projects
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