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1. YOLOv3-KCF-Fast-Object-TrackerYOLOv3-KCF-Fast-Object-TrackerPublic

   A fast object tracking pipeline that uses a combination of YOLO's accurate detection and KCF's fast tracking to track a particular object from the Coco dataset

   Python 42 14

2. Neoplastic-Cell-Nuclei-Segmentation-using-Mask-R-CNNNeoplastic-Cell-Nuclei-Segmentation-using-Mask-R-CNNPublic

   This project uses a state-of-the-art object detection and segmentation model called as the Mask R-CNN to detect and segment neoplastic cell nuclei from whole-slide images. The motivation behind thi…

   Jupyter Notebook 1

3. Blind-Motion-Deblurring-for-Legible-License-Plates-using-Deep-LearningBlind-Motion-Deblurring-for-Legible-License-Plates-using-Deep-LearningPublic

   This project deals with blind motion deblurring using a combination of Weiner Deconvolution and Deep Learning techniques to estimate the length and angle parameter of the Point-Spread Function

   Python 24 4

4. ResNet-on-Tiny-Imagenet-from-scratchResNet-on-Tiny-Imagenet-from-scratchPublic

   In this project I built and trained a ResNet model from scratch on Standford's tiny imagenet dataset which is used in their CNN course

   Python

5. 3d-Object-Classification-using-PointNet3d-Object-Classification-using-PointNetPublic

   This project highlights the use of deep learning for 3d point cloud classification of common objects using Standford's ShapeNet dataset

   Python 1 1

6. Sensor-Fusion-for-Object-DetectionSensor-Fusion-for-Object-DetectionPublic

   This project focuses on performing early sensor fusion of raw camera and lidar data to faciliate detecting objects and estimating their depth information.

   Python 25 4