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1. Object-Recognition-and-Image-Retrieval Object-Recognition-and-Image-Retrieval Public

   The objective of this project is to use a Deep Learning Framework to create object recognition and retrieval systems.

   Jupyter Notebook 1

2. Deep-Lab-based-semantic-segmentation Deep-Lab-based-semantic-segmentation Public

   The primary goal is to use any Deep Lab-based semantic segmentation models to perform the segmentation of facial attributes

   Jupyter Notebook 1

3. Face-Detection-in-the-Wild Face-Detection-in-the-Wild Public

   In this project there are 2 tasks performed: 1) Face Detection: There are a set of images given where each image consists of people. The task is to identify the faces in the images and annotate the…

   Python 1

4. Image-Stitching-using-SIFT-feature-detection-algorithm Image-Stitching-using-SIFT-feature-detection-algorithm Public

   The goal of this task is to experiment with image stitching methods. Two images may have the same background but different foreground. For example, a moving person may be moving in the scene. You n…

   Python 1

5. Model-comparison-for-Bank-Marketing Model-comparison-for-Bank-Marketing Public

   The classification goal is to predict if the client will subscribe a term deposit (variable y).

   Jupyter Notebook

6. RANSAC-and-Bug2-Obstacle-Avoidance-Algorthm RANSAC-and-Bug2-Obstacle-Avoidance-Algorthm Public

   Implementation of RANSAC for wall detection and Bug2 Obstacle Avoidance Algorthm using ROS

   Python 1