Vehicle Detection, Counting, and Classification System based on Video using Deep learning Models
YOLOv7 Deep Learning Model for Pavement Crack Detection Using Close Range Photogrammetry Dataset.
Boats Imagery Classification Using Deep Learning
Intelligent Traffic Sign Detection and Recognition Using Computer Vision
Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics
Driver Drowsiness Detection Using CNN and ESP32 CAM
Real-Time Road Lane Detection for Self-driving Cars Using Computer Vision
Train Track Crack Classification Using CNN
Point cloud processing for environmental analysis in Autonomous Driving using Deep Learning
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Vehicle License Plates Recognition Using Object Detection and Classification Algorithms
Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data
Pavement Crack Detection from UAV Images Using YOLOv4