OpenCV Age Detection with DeepLearing

Python3 💙

The Model Detects Age in Two States:

1.Age Detection in static Images

2.Age Detection in real-time video streams

Typically, you’ll see age detection implemented as a two-stage process:

Stage 1: Detect faces in the input image/video stream

Stage 2: Extract the face Region of Interest and apply the age detector algorithm to predict the age of the person

Types of Face Detectors are : Haar cascades, HOG + Linear SVM, Single Shot Detectors (SSDs), etc.

Deep learning-based face detectors are the most robust and will give you the best accuracy, but require even more computational resources than both Haar cascades and HOG + Linear SVMs

In this project u have two Detector models

1. detect_age.py: Single image age prediction

2. detect_age_video.py: Age prediction in video streams