This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow.

Implementing Bag of Visual words approach for object classification and detection

A deep learning based sign language recognition system for speech impaired people in India using Bag of Visual Words with Convolutional Neural Networks.

This repository contains python implementation for recognizing Indian sign language (ISL) gestures for deaf and dumb people.

Bag of visual words (BOVW) is commonly used in image classification. Its concept is adapted from information retrieval and NLP’s bag of words (BOW).

Image feature selection performed by using white and black box algorithms

Python Implementation of Bags of Binary Words

Feature extraction by using SITF+BoF.

Bag of Visual Words and HOG based object detection in python/opencv

Bag-of-words Image Retrieval

Official implementation of 'Bag of Color Features For Color Constancy' (BoCF) accepted in IEEE Transactions on Image Processing (TIP) 2020

🕸 CNN + 🛍 BoVW + 💼 BoCF + 🐺 Grey Wolf Optimization & Comparision ⚖

Python implementation of the Bag of Contour Fragments algorithm for shape classification

This project is a study that compares two machine learning approches (Feature extraction with SIFT descriptors and deep learning) in order to classify dogs races (Stanford dogs dataset). A flask application is built from the weights of the final deep neural network trained : http://bit.ly/mk_cv_dogs

Image processing and vision based assignments completed in computer vision course

Python code to perform keyword spotting using SIFT features

MATLAB implementations of various Computer Vision algorithms.

Place recognition using Bag of Visual Words

Image categorization using Bag of visual words approach.