Automatically predict the location of the image based on any landmarks depicted in the image.

Project for information security. We`re gonna recognize human emotions in the video.

Landmark Recognition Using Transfer Learning with PyTorch

Landmark Detection and Tracking (SLAM) project for Udacity Computer Vision Nanodegree (CVND) program.

The project aims to build strong CNN image classification models to automatically predict the location of the image based on any landmarks depicted in an image.

Replication of speech to facial landmarks results

Implement SLAM, a robust method for tracking an object over time and mapping out its surrounding environment using elements of probability, motion models, linear algerbra.

The app takes image input from the user and accurately classifies the landmark in the image. It gives the top 5 possible landmark names with the probability.

Area and Volume Algorithms on 3D Models

A website that helps models improve their craft at an amateur stage.