Projects
This section showcases some of the key projects I have worked on, highlighting my skills in Computer Vision, Deep Learning, and AI solutions.
Featured Projects
Anchor Boxes Initialization with KMeans for Faster-RCNN
Improved object detection performance by implementing KMeans clustering for optimal anchor box initialization in Faster-RCNN. This approach reduced convergence time by 50% and increased mAP by 6% on custom datasets.
TensorFlow
Computer Vision
Object Detection
View on GitHub
Vehicle Detection and Tracking
A complete pipeline for real-time vehicle detection and tracking in video streams using YOLOv5, OpenCV, and PyTorch. Includes multi-object tracking and visualization capabilities.
PyTorch
YOLOv5
OpenCV
Tracking
View on GitHub
Retail Shelf Empty Space Detection
Computer vision solution for detecting empty spaces in retail store shelves and racks. Helps optimize inventory management and improve restocking efficiency in retail environments.
Computer Vision
Python
Deep Learning
Retail Analytics
View on GitHub