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

Pre-trained Deep Learning models and demos (high quality and extremely fast)

Dynamsoft Label Recognizer samples for the Android and iOS editions

Dynamsoft Label Recognizer samples for the C/C++ edition

The Flask-Python web app utilizes a pre-trained image colorization model based on Caffe. It allows users to upload black and white images and applies the colorization model to automatically generate colored versions. The app leverages the power of deep learning to provide an intuitive and interactive way to add color to grayscale images with ease.

This is an iOS app that identifies the flower from its photo and also gives detailed information about it.

A video summarization algorithm detects essential events from the surveillance stream and can help index and efficiently retrieve required data from massive datasets.

A gender classification system capable of accurately predicting the gender of individuals from facial images, using pre-trained models

Final Project

Go package for computer vision using OpenCV 3+ and beyond.

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

utilizing machine learning algorithms and database management techniques to provide students with a list of engineering colleges ranked according to their likelihood of admission.

Largest list of models for Core ML (for iOS 11+)

A project on Optical Image Tracking covering Optical Flow, Dense Optical Flow, MeanShift Technique, CamShift Technique, Single Object Tracking and Multi Object Tracking.

An app which helps to identify a flower by photo, using Caffe Model converted to CoreML. *studies project from The Complete iOS Development Bootcamp*

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

A simple Face Obfuscation program written in Python and OpenCV

formulating 2D density plot histogram for color space conversion from face extracted using opencv caffemodel

A Face Detection Tool using openCV in C++