Pecheneg0/armenian_letter
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A project implementing an autonomous UAV navigation system that recognizes Armenian alphabet letters from aerial imagery and performs ArUco marker-based landing. It includes a custom CNN model trained on a synthetically generated dataset of Armenian letters, integration with Raspberry Pi and Pixhawk flight controller, and real-time control scripts.
A computer vision system for UAVs designed to detect and recognize Armenian symbols (3x3 meters in size) from aerial ...
A computer vision project for detecting and locating Armenian letters from drone imagery. It appears to be a contest ...
A Convolutional Neural Network (CNN) model for recognizing characters of the Armenian alphabet, achieving ~95% accura...
A deep learning project implementing convolutional neural networks (CNNs) to classify handwritten Armenian alphabet c...
A Jupyter Notebook implementing a ResNet-based deep learning model for Armenian handwritten character recognition, tr...
This project implements a deep learning system for detecting and recognizing handwritten Armenian characters using a ...