These projects use computer vision and deep learning to detect and recognize visual objects, especially Armenian license plates and logos, through YOLO-based models and similarity or recognition pipelines.
An experimental toolkit for logo and image similarity detection that combines multiple computer vision techniques: AI...
A real-time Armenian license plate detection system using YOLOv5 for object detection, packaged with a Streamlit web ...
A neuro-symbolic ALPR system for Armenian license plates combining YOLOv11 object detection with an OWL ontology for ...
A C++20/Qt6 library for real-time vehicle tracking and license plate recognition, specifically targeting Armenian and...